GitHub JavaScript Weekly Trending

decolua/9router

Unlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline, Copilot, Antigravity to FREE Claude/GPT/Gemini via 40+ providers. Auto-fallback, RTK -40% tokens, never hit limits.

9Router - FREE AI Router & Token Saver

Never stop coding. Save 20-40% tokens with RTK + auto-fallback to FREE & cheap AI models.

Connect All AI Code Tools (Claude Code, Cursor, Antigravity, Copilot, Codex, Gemini, OpenCode, Cline, OpenClaw...) to 40+ AI Providers & 100+ Models.

🚀 Quick Start • 💡 Features • 📖 Setup • 🌐 Website

🇻🇳 Tiếng Việt • 🇨🇳 中文 • 🇯🇵 日本語

🤔 Why 9Router?

Stop wasting money, tokens and hitting limits:

❌ Subscription quota expires unused every month
❌ Rate limits stop you mid-coding
❌ Tool outputs (git diff, grep, ls...) burn tokens fast
❌ Expensive APIs ($20-50/month per provider)
❌ Manual switching between providers

9Router solves this:

✅ RTK Token Saver - Auto-compress tool_result content, save 20-40% tokens per request
✅ Maximize subscriptions - Track quota, use every bit before reset
✅ Auto fallback - Subscription → Cheap → Free, zero downtime
✅ Multi-account - Round-robin between accounts per provider
✅ Universal - Works with Claude Code, Codex, Cursor, Cline, any CLI tool

🔄 How It Works

┌─────────────┐
│  Your CLI   │  (Claude Code, Codex, OpenClaw, Cursor, Cline...)
│   Tool      │
└──────┬──────┘
       │ http://localhost:20128/v1
       ↓
┌─────────────────────────────────────────────┐
│           9Router (Smart Router)            │
│  • RTK Token Saver (cut tool_result tokens) │
│  • Format translation (OpenAI ↔ Claude)     │
│  • Quota tracking                           │
│  • Auto token refresh                       │
└──────┬──────────────────────────────────────┘
       │
       ├─→ [Tier 1: SUBSCRIPTION] Claude Code, Codex, GitHub Copilot
       │   ↓ quota exhausted
       ├─→ [Tier 2: CHEAP] GLM ($0.6/1M), MiniMax ($0.2/1M)
       │   ↓ budget limit
       └─→ [Tier 3: FREE] Kiro, OpenCode Free, Vertex ($300 credits)

Result: Never stop coding, minimal cost + 20-40% token savings via RTK

⚡ Quick Start

1. Install globally:

npm install -g 9router
9router

🎉 Dashboard opens at http://localhost:20128

2. Connect a FREE provider (no signup needed):

Dashboard → Providers → Connect Kiro AI (free Claude unlimited) or OpenCode Free (no auth) → Done!

3. Use in your CLI tool:

Claude Code/Codex/OpenClaw/Cursor/Cline Settings:
  Endpoint: http://localhost:20128/v1
  API Key: [copy from dashboard]
  Model: kr/claude-sonnet-4.5

That's it! Start coding with FREE AI models.

Alternative: run from source (this repository):

This repository package is private (9router-app), so source/Docker execution is the expected local development path.

cp .env.example .env
npm install
PORT=20128 NEXT_PUBLIC_BASE_URL=http://localhost:20128 npm run dev

Production mode:

npm run build
PORT=20128 HOSTNAME=0.0.0.0 NEXT_PUBLIC_BASE_URL=http://localhost:20128 npm run start

Default URLs:

Dashboard: http://localhost:20128/dashboard
OpenAI-compatible API: http://localhost:20128/v1

Video Guides

🇺🇸 English _{9Router + Claude Code FREE Setup by Build AI With Hamid}	🇻🇳 Tiếng Việt _{Tiết kiệm chi phí LLM cho OpenClaw với 9Router by Mì AI}	🇺🇸 English _{Claude Code FREE Forever — Unlimited Models by Build AI With Hamid}
🇺🇸 English _{Claude CLI Free Setup with 9Router 🚀 by CodeVerse Soban}	🇻🇳 Tiếng Việt _{Cài Đặt OpenClaw Free Từ A-Z + 9Router by Mai Gia}	🇺🇸 English _{FREE OpenClaw + Claude Opus 4.6 by Build AI With Hamid}

🎬 Made a video about 9Router? Submit a Pull Request adding your video to this section — we'll merge it!

🛠️ Supported CLI Tools

9Router works seamlessly with all major AI coding tools:

Claude-Code	OpenClaw	Codex	OpenCode	Cursor	Antigravity
Cline	Continue	Droid	Roo	Copilot	Kilo Code

🌐 Supported Providers

🔐 OAuth Providers

Claude-Code

Antigravity

Codex

GitHub

Cursor

🆓 Free Providers

Kiro AI
_{Claude 4.5 + GLM-5 + MiniMax
Unlimited FREE}

OpenCode Free
_{No auth • Auto-fetch models
Unlimited FREE}

Vertex AI
_{Gemini 3 Pro + GLM-5 + DeepSeek
$300 credits free}

Note: iFlow, Qwen and Gemini CLI free tiers were discontinued in 2026. Use Kiro / OpenCode Free / Vertex instead.

🔑 API Key Providers (40+)

_OpenRouter	_GLM	_Kimi	_MiniMax	_OpenAI	_Anthropic
_Gemini	_DeepSeek	_Groq	_xAI	_Mistral	_Perplexity
_{Together AI}	_Fireworks	_Cerebras	_Cohere	_NVIDIA	_SiliconFlow

...and 20+ more providers including Nebius, Chutes, Hyperbolic, and custom OpenAI/Anthropic compatible endpoints

💡 Key Features

Feature	What It Does	Why It Matters
🚀 RTK Token Saver (RTK ⭐40K)	Compress tool outputs (`git diff`, `grep`, `ls`, `tree`...) before sending to LLM	Save 20-40% input tokens per request
🪨 Caveman Mode (Caveman ⭐52K)	Inject caveman-speak prompt → LLM replies terse, technical substance preserved	Save up to 65% output tokens
🎯 Smart 3-Tier Fallback	Auto-route: Subscription → Cheap → Free	Never stop coding, zero downtime
📊 Real-Time Quota Tracking	Live token count + reset countdown	Maximize subscription value
🔄 Format Translation	OpenAI ↔ Claude ↔ Gemini ↔ Cursor ↔ Kiro ↔ Vertex	Works with any CLI tool
👥 Multi-Account Support	Multiple accounts per provider	Load balancing + redundancy
🔄 Auto Token Refresh	OAuth tokens refresh automatically	No manual re-login needed
🎨 Custom Combos	Create unlimited model combinations	Tailor fallback to your needs
📝 Request Logging	Debug mode with full request/response logs	Troubleshoot issues easily
💾 Cloud Sync	Sync config across devices	Same setup everywhere
📊 Usage Analytics	Track tokens, cost, trends over time	Optimize spending
🌐 Deploy Anywhere	Localhost, VPS, Docker, Cloudflare Workers	Flexible deployment options

📖 Feature Details

🚀 RTK Token Saver

Tool outputs (git diff, grep, find, ls, tree, log dumps...) often eat 30-50% of your prompt budget. RTK detects them and applies smart, lossless compression before the request hits the LLM:

Filters: git-diff, git-status, grep, find, ls, tree, dedup-log, smart-truncate, read-numbered, search-list
Auto-detect: No config needed — RTK peeks the first 1KB of each tool_result and picks the right filter.
Safe by design: If a filter fails, throws, or makes output bigger, RTK silently keeps the original text. Errors never break your request.
Universal: Works across all formats (OpenAI, Claude, Gemini, Cursor, Kiro, OpenAI Responses) because it runs before any format translation.
Default ON: Toggle anytime in Dashboard → Endpoint settings.

Without RTK: 47K tokens sent to LLM
With RTK:    28K tokens sent to LLM   (40% saved · same context · same answer)

🎯 Smart 3-Tier Fallback

Create combos with automatic fallback:

Combo: "my-coding-stack"
  1. cc/claude-opus-4-6        (your subscription)
  2. glm/glm-4.7               (cheap backup, $0.6/1M)
  3. if/kimi-k2-thinking       (free fallback)

→ Auto switches when quota runs out or errors occur

📊 Real-Time Quota Tracking

Token consumption per provider
Reset countdown (5-hour, daily, weekly)
Cost estimation for paid tiers
Monthly spending reports

🔄 Format Translation

Seamless translation between formats:

OpenAI ↔ Claude ↔ Gemini ↔ Cursor ↔ Kiro ↔ Vertex ↔ Antigravity ↔ Ollama ↔ OpenAI Responses
Your CLI tool sends OpenAI format → 9Router translates → Provider receives native format
Works with any tool that supports custom OpenAI endpoints

👥 Multi-Account Support

Add multiple accounts per provider
Auto round-robin or priority-based routing
Fallback to next account when one hits quota

🔄 Auto Token Refresh

OAuth tokens automatically refresh before expiration
No manual re-authentication needed
Seamless experience across all providers

🎨 Custom Combos

Create unlimited model combinations
Mix subscription, cheap, and free tiers
Name your combos for easy access
Share combos across devices with Cloud Sync

📝 Request Logging

Enable debug mode for full request/response logs
Track API calls, headers, and payloads
Troubleshoot integration issues
Export logs for analysis

💾 Cloud Sync

Sync providers, combos, and settings across devices
Automatic background sync
Secure encrypted storage
Access your setup from anywhere

Cloud Runtime Notes

Prefer server-side cloud variables in production:
- BASE_URL (internal callback URL used by sync scheduler)
- CLOUD_URL (cloud sync endpoint base)
NEXT_PUBLIC_BASE_URL and NEXT_PUBLIC_CLOUD_URL are still supported for compatibility/UI, but server runtime now prioritizes BASE_URL/CLOUD_URL.
Cloud sync requests now use timeout + fail-fast behavior to avoid UI hanging when cloud DNS/network is unavailable.

📊 Usage Analytics

Track token usage per provider and model
Cost estimation and spending trends
Monthly reports and insights
Optimize your AI spending

💡 IMPORTANT - Understanding Dashboard Costs:

The "cost" displayed in Usage Analytics is for tracking and comparison purposes only. 9Router itself never charges you anything. You only pay providers directly (if using paid services).

Example: If your dashboard shows "$290 total cost" while using iFlow models, this represents what you would have paid using paid APIs directly. Your actual cost = $0 (iFlow is free unlimited).

Think of it as a "savings tracker" showing how much you're saving by using free models or routing through 9Router!

🌐 Deploy Anywhere

💻 Localhost - Default, works offline
☁️ VPS/Cloud - Share across devices
🐳 Docker - One-command deployment
🚀 Cloudflare Workers - Global edge network

💰 Pricing at a Glance

Tier	Provider	Cost	Quota Reset	Best For
🚀 TOKEN SAVER	RTK (built-in)	FREE	Always on	Save 20-40% tokens on EVERY request
💳 SUBSCRIPTION	Claude Code (Pro/Max)	$20-200/mo	5h + weekly	Already subscribed
	Codex (Plus/Pro)	$20-200/mo	5h + weekly	OpenAI users
	GitHub Copilot	$10-19/mo	Monthly	GitHub users
	Cursor IDE	$20/mo	Monthly	Cursor users
💰 CHEAP	GLM-5.1 / GLM-4.7	$0.6/1M	Daily 10AM	Budget backup
	MiniMax M2.7	$0.2/1M	5-hour rolling	Cheapest option
	Kimi K2.5	$9/mo flat	10M tokens/mo	Predictable cost
🆓 FREE	Kiro AI	$0	Unlimited	Claude 4.5 + GLM-5 + MiniMax free
	OpenCode Free	$0	Unlimited	No auth, auto-fetch models
	Vertex AI	$300 credits	New GCP accounts	Gemini 3 Pro + DeepSeek + GLM-5

💡 Pro Tip: RTK + Kiro AI + OpenCode Free combo = $0 cost + 20-40% token savings!

📊 Understanding 9Router Costs & Billing

9Router Billing Reality:

✅ 9Router software = FREE forever (open source, never charges)
✅ Dashboard "costs" = Display/tracking only (not actual bills)
✅ You pay providers directly (subscriptions or API fees)
✅ FREE providers stay FREE (iFlow, Kiro, Qwen = $0 unlimited)
❌ 9Router never sends invoices or charges your card

How Cost Display Works:

The dashboard shows estimated costs as if you were using paid APIs directly. This is not billing - it's a comparison tool to show your savings.

Example Scenario:

Dashboard Display:
• Total Requests: 1,662
• Total Tokens: 47M
• Display Cost: $290

Reality Check:
• Provider: iFlow (FREE unlimited)
• Actual Payment: $0.00
• What $290 Means: Amount you SAVED by using free models!

Payment Rules:

Subscription providers (Claude Code, Codex): Pay them directly via their websites
Cheap providers (GLM, MiniMax): Pay them directly, 9Router just routes
FREE providers (iFlow, Kiro, Qwen): Genuinely free forever, no hidden charges
9Router: Never charges anything, ever

🎯 Use Cases

Case 1: "I have Claude Pro subscription"

Problem: Quota expires unused, rate limits during heavy coding

Solution:

Combo: "maximize-claude"
  1. cc/claude-opus-4-7        (use subscription fully)
  2. glm/glm-5.1               (cheap backup when quota out)
  3. kr/claude-sonnet-4.5      (free emergency fallback)

Monthly cost: $20 (subscription) + ~$5 (backup) = $25 total
vs. $20 + hitting limits = frustration

Case 2: "I want zero cost"

Problem: Can't afford subscriptions, need reliable AI coding

Solution:

Combo: "free-forever"
  1. kr/claude-sonnet-4.5      (Claude 4.5 free unlimited)
  2. kr/glm-5                  (GLM-5 free via Kiro)
  3. oc/<auto>                 (OpenCode Free, no auth)

Monthly cost: $0
Quality: Production-ready models + RTK saves 20-40% tokens

Case 3: "I need 24/7 coding, no interruptions"

Problem: Deadlines, can't afford downtime

Solution:

Combo: "always-on"
  1. cc/claude-opus-4-7        (best quality)
  2. cx/gpt-5.5                (second subscription)
  3. glm/glm-5.1               (cheap, resets daily)
  4. minimax/MiniMax-M2.7      (cheapest, 5h reset)
  5. kr/claude-sonnet-4.5      (free unlimited)

Result: 5 layers of fallback = zero downtime
Monthly cost: $20-200 (subscriptions) + $10-20 (backup)

Case 4: "I want FREE AI in OpenClaw"

Problem: Need AI assistant in messaging apps (WhatsApp, Telegram, Slack...), completely free

Solution:

Combo: "openclaw-free"
  1. kr/claude-sonnet-4.5      (Claude 4.5 free)
  2. kr/glm-5                  (GLM-5 free)
  3. kr/MiniMax-M2.5           (MiniMax free)

Monthly cost: $0
Access via: WhatsApp, Telegram, Slack, Discord, iMessage, Signal...

❓ Frequently Asked Questions

📊 Why does my dashboard show high costs?

The dashboard tracks your token usage and displays estimated costs as if you were using paid APIs directly. This is not actual billing - it's a reference to show how much you're saving by using free models or existing subscriptions through 9Router.

Example:

Dashboard shows: "$290 total cost"
Reality: You're using iFlow (FREE unlimited)
Your actual cost: $0.00
What $290 means: Amount you saved by using free models instead of paid APIs!

The cost display is a "savings tracker" to help you understand your usage patterns and optimization opportunities.

💳 Will I be charged by 9Router?

No. 9Router is free, open-source software that runs on your own computer. It never charges you anything.

You only pay:

✅ Subscription providers (Claude Code $20/mo, Codex $20-200/mo) → Pay them directly on their websites
✅ Cheap providers (GLM, MiniMax) → Pay them directly, 9Router just routes your requests
❌ 9Router itself → Never charges anything, ever

9Router is a local proxy/router. It doesn't have your credit card, can't send invoices, and has no billing system. It's completely free software.

🆓 Are FREE providers really unlimited?

Yes! The current FREE providers (Kiro, OpenCode Free, Vertex) are genuinely free with no hidden charges.

These are free services offered by those respective companies:

Kiro AI: Free unlimited Claude 4.5 + GLM-5 + MiniMax via AWS Builder ID / Google / GitHub OAuth
OpenCode Free: No-auth passthrough proxy, models auto-fetched from opencode.ai/zen/v1/models
Vertex AI: $300 free credits for new Google Cloud accounts (90 days)

9Router just routes your requests to them - there's no "catch" or future billing. They're truly free services, and 9Router makes them easy to use with fallback support.

Discontinued free tiers (no longer recommended):

❌ iFlow: Was free unlimited, now changed to paid (2026)
❌ Qwen Code: Free OAuth tier discontinued by Alibaba on 2026-04-15
❌ Gemini CLI: Still works, but using it with non-CLI tools (Claude, Codex, Cursor...) may result in account bans — only use if you stick to Gemini CLI itself

💰 How do I minimize my actual AI costs?

Free-First Strategy:

Start with 100% free combo:

1. gc/gemini-3-flash (180K/month free from Google)
2. if/kimi-k2-thinking (unlimited free from iFlow)
3. qw/qwen3-coder-plus (unlimited free from Qwen)

Cost: $0/month

Add cheap backup only if you need it:
```
4. glm/glm-4.7 ($0.6/1M tokens)
```
Additional cost: Only pay for what you actually use
Use subscription providers last:
- Only if you already have them
- 9Router helps maximize their value through quota tracking

Result: Most users can operate at $0/month using only free tiers!

📈 What if my usage suddenly spikes?

9Router's smart fallback prevents surprise charges:

Scenario: You're on a coding sprint and blow through your quotas

Without 9Router:

❌ Hit rate limit → Work stops → Frustration
❌ Or: Accidentally rack up huge API bills

With 9Router:

✅ Subscription hits limit → Auto-fallback to cheap tier
✅ Cheap tier gets expensive → Auto-fallback to free tier
✅ Never stop coding → Predictable costs

You're in control: Set spending limits per provider in dashboard, and 9Router respects them.

📖 Setup Guide

🔐 Subscription Providers (Maximize Value)

Claude Code (Pro/Max)

Dashboard → Providers → Connect Claude Code
→ OAuth login → Auto token refresh
→ 5-hour + weekly quota tracking

Models:
  cc/claude-opus-4-7
  cc/claude-opus-4-6
  cc/claude-sonnet-4-6
  cc/claude-haiku-4-5-20251001

Pro Tip: Use Opus for complex tasks, Sonnet for speed. 9Router tracks quota per model!

OpenAI Codex (Plus/Pro)

Dashboard → Providers → Connect Codex
→ OAuth login (port 1455)
→ 5-hour + weekly reset

Models:
  cx/gpt-5.5
  cx/gpt-5.4
  cx/gpt-5.3-codex
  cx/gpt-5.2-codex

GitHub Copilot

Dashboard → Providers → Connect GitHub
→ OAuth via GitHub
→ Monthly reset (1st of month)

Models:
  gh/gpt-5.4
  gh/claude-opus-4.7
  gh/claude-sonnet-4.6
  gh/gemini-3.1-pro-preview
  gh/grok-code-fast-1

Cursor IDE

Dashboard → Providers → Connect Cursor
→ OAuth login
→ Monthly subscription

Models:
  cu/claude-4.6-opus-max
  cu/claude-4.5-sonnet-thinking
  cu/gpt-5.3-codex

💰 Cheap Providers (Backup)

GLM-5.1 / GLM-4.7 (Daily reset, $0.6/1M)

Sign up: Zhipu AI
Get API key from Coding Plan
Dashboard → Add API Key:
- Provider: glm
- API Key: your-key

Use: glm/glm-5.1, glm/glm-5, glm/glm-4.7

Pro Tip: Coding Plan offers 3× quota at 1/7 cost! Reset daily 10:00 AM.

MiniMax M2.7 (5h reset, $0.20/1M)

Sign up: MiniMax
Get API key
Dashboard → Add API Key

Use: minimax/MiniMax-M2.7, minimax/MiniMax-M2.5

Pro Tip: Cheapest option for long context (1M tokens)!

Kimi K2.5 ($9/month flat)

Subscribe: Moonshot AI
Get API key
Dashboard → Add API Key

Use: kimi/kimi-k2.5, kimi/kimi-k2.5-thinking

Pro Tip: Fixed $9/month for 10M tokens = $0.90/1M effective cost!

🆓 FREE Providers (Recommended)

Kiro AI (Claude 4.5 + GLM-5 + MiniMax FREE)

Dashboard → Connect Kiro
→ AWS Builder ID, AWS IAM Identity Center, Google, or GitHub
→ Unlimited usage

Models:
  kr/claude-sonnet-4.5
  kr/claude-haiku-4.5
  kr/glm-5
  kr/MiniMax-M2.5
  kr/qwen3-coder-next
  kr/deepseek-3.2

Pro Tip: Best free option for Claude. No API key, no payment, fully unlimited.

OpenCode Free (No auth, auto-fetch models)

Dashboard → Connect OpenCode Free
→ No login required (passthrough proxy)
→ Models auto-fetched from opencode.ai/zen/v1/models

Pro Tip: Fastest setup. Just connect and start coding.

Vertex AI ($300 free credits for new GCP accounts)

Dashboard → Connect Vertex AI
→ Upload Google Cloud Service Account JSON
→ Enable Vertex AI API in your GCP project

Models:
  vertex/gemini-3.1-pro-preview
  vertex/gemini-3-flash-preview
  vertex/gemini-2.5-flash

Vertex Partner (Anthropic / DeepSeek / GLM / Qwen via Vertex):
  vertex-partner/glm-5-maas
  vertex-partner/deepseek-v3.2-maas
  vertex-partner/qwen3-next-80b-a3b-thinking-maas

Pro Tip: New Google Cloud accounts get $300 credits free for 90 days. Plenty for daily coding.

🎨 Create Combos

Example 1: Maximize Subscription → Cheap Backup

Dashboard → Combos → Create New

Name: premium-coding
Models:
  1. cc/claude-opus-4-7 (Subscription primary)
  2. glm/glm-5.1 (Cheap backup, $0.6/1M)
  3. minimax/MiniMax-M2.7 (Cheapest fallback, $0.20/1M)

Use in CLI: premium-coding

Monthly cost example (100M tokens):
  80M via Claude (subscription): $0 extra
  15M via GLM: $9
  5M via MiniMax: $1
  Total: $10 + your subscription

Example 2: Free-Only (Zero Cost)

Name: free-combo
Models:
  1. kr/claude-sonnet-4.5 (Claude 4.5 free unlimited)
  2. kr/glm-5 (GLM-5 free via Kiro)
  3. vertex/gemini-3.1-pro-preview ($300 free credits)

Cost: $0 forever (+ 20-40% token savings via RTK)!

🔧 CLI Integration

Cursor IDE

Settings → Models → Advanced:
  OpenAI API Base URL: http://localhost:20128/v1
  OpenAI API Key: [from 9router dashboard]
  Model: cc/claude-opus-4-7

Or use combo: premium-coding

Claude Code

Edit ~/.claude/config.json:

{
  "anthropic_api_base": "http://localhost:20128/v1",
  "anthropic_api_key": "your-9router-api-key"
}

Codex CLI

export OPENAI_BASE_URL="http://localhost:20128"
export OPENAI_API_KEY="your-9router-api-key"

codex "your prompt"

OpenClaw

Option 1 — Dashboard (recommended):

Dashboard → CLI Tools → OpenClaw → Select Model → Apply

Option 2 — Manual: Edit ~/.openclaw/openclaw.json:

{
  "agents": {
    "defaults": {
      "model": {
        "primary": "9router/kr/claude-sonnet-4.5"
      }
    }
  },
  "models": {
    "providers": {
      "9router": {
        "baseUrl": "http://127.0.0.1:20128/v1",
        "apiKey": "sk_9router",
        "api": "openai-completions",
        "models": [
          {
            "id": "kr/claude-sonnet-4.5",
            "name": "Claude Sonnet 4.5 (Kiro Free)"
          }
        ]
      }
    }
  }
}

Note: OpenClaw only works with local 9Router. Use 127.0.0.1 instead of localhost to avoid IPv6 resolution issues.

Cline / Continue / RooCode

Provider: OpenAI Compatible
Base URL: http://localhost:20128/v1
API Key: [from dashboard]
Model: cc/claude-opus-4-7

🚀 Deployment

VPS Deployment

# Clone and install
git clone https://github.com/decolua/9router.git
cd 9router
npm install
npm run build

# Configure
export JWT_SECRET="your-secure-secret-change-this"
export INITIAL_PASSWORD="your-password"
export DATA_DIR="/var/lib/9router"
export PORT="20128"
export HOSTNAME="0.0.0.0"
export NODE_ENV="production"
export NEXT_PUBLIC_BASE_URL="http://localhost:20128"
export NEXT_PUBLIC_CLOUD_URL="https://9router.com"
export API_KEY_SECRET="endpoint-proxy-api-key-secret"
export MACHINE_ID_SALT="endpoint-proxy-salt"

# Start
npm run start

# Or use PM2
npm install -g pm2
pm2 start npm --name 9router -- start
pm2 save
pm2 startup

Docker

# Build image (from repository root)
docker build -t 9router .

# Run container (command used in current setup)
docker run -d \
  --name 9router \
  -p 20128:20128 \
  --env-file /root/dev/9router/.env \
  -v 9router-data:/app/data \
  -v 9router-usage:/root/.9router \
  9router

Portable command (if you are already at repository root):

docker run -d \
  --name 9router \
  -p 20128:20128 \
  --env-file ./.env \
  -v 9router-data:/app/data \
  -v 9router-usage:/root/.9router \
  9router

Container defaults:

PORT=20128
HOSTNAME=0.0.0.0

Useful commands:

docker logs -f 9router
docker restart 9router
docker stop 9router && docker rm 9router

Environment Variables

Variable	Default	Description
`JWT_SECRET`	`9router-default-secret-change-me`	JWT signing secret for dashboard auth cookie (change in production)
`INITIAL_PASSWORD`	`123456`	First login password when no saved hash exists
`DATA_DIR`	`~/.9router`	Main app database location (`db.json`)
`PORT`	framework default	Service port (`20128` in examples)
`HOSTNAME`	framework default	Bind host (Docker defaults to `0.0.0.0`)
`NODE_ENV`	runtime default	Set `production` for deploy
`BASE_URL`	`http://localhost:20128`	Server-side internal base URL used by cloud sync jobs
`CLOUD_URL`	`https://9router.com`	Server-side cloud sync endpoint base URL
`NEXT_PUBLIC_BASE_URL`	`http://localhost:3000`	Backward-compatible/public base URL (prefer `BASE_URL` for server runtime)
`NEXT_PUBLIC_CLOUD_URL`	`https://9router.com`	Backward-compatible/public cloud URL (prefer `CLOUD_URL` for server runtime)
`API_KEY_SECRET`	`endpoint-proxy-api-key-secret`	HMAC secret for generated API keys
`MACHINE_ID_SALT`	`endpoint-proxy-salt`	Salt for stable machine ID hashing
`ENABLE_REQUEST_LOGS`	`false`	Enables request/response logs under `logs/`
`AUTH_COOKIE_SECURE`	`false`	Force `Secure` auth cookie (set `true` behind HTTPS reverse proxy)
`REQUIRE_API_KEY`	`false`	Enforce Bearer API key on `/v1/*` routes (recommended for internet-exposed deploys)
`HTTP_PROXY`, `HTTPS_PROXY`, `ALL_PROXY`, `NO_PROXY`	empty	Optional outbound proxy for upstream provider calls

Notes:

Lowercase proxy variables are also supported: http_proxy, https_proxy, all_proxy, no_proxy.
.env is not baked into Docker image (.dockerignore); inject runtime config with --env-file or -e.
On Windows, APPDATA can be used for local storage path resolution.
INSTANCE_NAME appears in older docs/env templates, but is currently not used at runtime.

Runtime Files and Storage

Main app state: ${DATA_DIR}/db.json (providers, combos, aliases, keys, settings), managed by src/lib/localDb.js.
Usage history and logs: ${DATA_DIR}/usage.json and ${DATA_DIR}/log.txt, managed by src/lib/usageDb.js.
Optional request/translator logs: <repo>/logs/... when ENABLE_REQUEST_LOGS=true.
Both ${DATA_DIR} and ~/.9router resolve to the same location in a Docker container — the symlink /root/.9router -> /app/data is created at build time.

📊 Available Models

View all available models

Claude Code (cc/) - Pro/Max:

cc/claude-opus-4-7
cc/claude-opus-4-6
cc/claude-sonnet-4-6
cc/claude-sonnet-4-5-20250929
cc/claude-haiku-4-5-20251001

Codex (cx/) - Plus/Pro:

cx/gpt-5.5
cx/gpt-5.4
cx/gpt-5.3-codex
cx/gpt-5.2-codex
cx/gpt-5.1-codex-max

GitHub Copilot (gh/):

gh/gpt-5.4
gh/claude-opus-4.7
gh/claude-sonnet-4.6
gh/gemini-3.1-pro-preview
gh/grok-code-fast-1

Cursor (cu/) - Subscription:

cu/claude-4.6-opus-max
cu/claude-4.5-sonnet-thinking
cu/gpt-5.3-codex
cu/kimi-k2.5

GLM (glm/) - $0.6/1M:

glm/glm-5.1
glm/glm-5
glm/glm-4.7

MiniMax (minimax/) - $0.2/1M:

minimax/MiniMax-M2.7
minimax/MiniMax-M2.5

Kimi (kimi/) - $9/mo flat:

kimi/kimi-k2.5
kimi/kimi-k2.5-thinking

Kiro (kr/) - FREE unlimited:

kr/claude-sonnet-4.5
kr/claude-haiku-4.5
kr/glm-5
kr/MiniMax-M2.5
kr/qwen3-coder-next
kr/deepseek-3.2

OpenCode Free (oc/) - FREE no-auth:

Auto-fetched from opencode.ai/zen/v1/models

Vertex AI (vertex/) - $300 free credits:

vertex/gemini-3.1-pro-preview
vertex/gemini-3-flash-preview
vertex/gemini-2.5-flash
vertex-partner/glm-5-maas
vertex-partner/deepseek-v3.2-maas

🐛 Troubleshooting

"Language model did not provide messages"

Provider quota exhausted → Check dashboard quota tracker
Solution: Use combo fallback or switch to cheaper tier

Rate limiting

Subscription quota out → Fallback to GLM/MiniMax
Add combo: cc/claude-opus-4-7 → glm/glm-5.1 → kr/claude-sonnet-4.5

OAuth token expired

Auto-refreshed by 9Router
If issues persist: Dashboard → Provider → Reconnect

High costs

Enable RTK in Dashboard → Endpoint settings (default ON, saves 20-40% tokens)
Check usage stats in Dashboard
Switch primary model to GLM/MiniMax
Use free tier (Kiro, OpenCode Free, Vertex) for non-critical tasks

Dashboard opens on wrong port

Set PORT=20128 and NEXT_PUBLIC_BASE_URL=http://localhost:20128

First login not working

Check INITIAL_PASSWORD in .env
If unset, fallback password is 123456

No request logs under logs/

Set ENABLE_REQUEST_LOGS=true

🛠️ Tech Stack

Runtime: Node.js 20+
Framework: Next.js 16
UI: React 19 + Tailwind CSS 4
Database: LowDB (JSON file-based)
Streaming: Server-Sent Events (SSE)
Auth: OAuth 2.0 (PKCE) + JWT + API Keys

📝 API Reference

Chat Completions

POST http://localhost:20128/v1/chat/completions
Authorization: Bearer your-api-key
Content-Type: application/json

{
  "model": "cc/claude-opus-4-6",
  "messages": [
    {"role": "user", "content": "Write a function to..."}
  ],
  "stream": true
}

List Models

GET http://localhost:20128/v1/models
Authorization: Bearer your-api-key

→ Returns all models + combos in OpenAI format

📧 Support

Website: 9router.com
GitHub: github.com/decolua/9router
Issues: github.com/decolua/9router/issues

👥 Contributors

Thanks to all contributors who helped make 9Router better!

📊 Star Chart

🔀 Forks

OmniRoute — A full-featured TypeScript fork of 9Router. Adds 36+ providers, 4-tier auto-fallback, multi-modal APIs (images, embeddings, audio, TTS), circuit breaker, semantic cache, LLM evaluations, and a polished dashboard. 368+ unit tests. Available via npm and Docker.

🙏 Acknowledgments

Built on the shoulders of giants:

CLIProxyAPI — original Go implementation that inspired this JavaScript port.
RTK — Rust token-saver. 9Router ports its compression pipeline to JS → −20-40% input tokens on every request.
Caveman by @JuliusBrussee — viral "why use many token when few token do trick". 9Router adapts its prompt → −65% output tokens.

Huge thanks to these authors — without their work, 9Router's token-saving features wouldn't exist. ⭐ them on GitHub!

📄 License

MIT License - see LICENSE for details.

_{Built with ❤️ for developers who code 24/7}

datawhalechina/easy-vibe

💻 vibe coding 2026 | Your first modern Coding course for beginners to master step by step.

Jump right in and vibe together — if you can talk, you can build apps.
直接上手，一起 vibe！会说话就会做应用。

🚀 Start Exploring · ✨ Interactive Tutorial · 🦞 Learn OpenClaw · 📖 Table of Contents
🚀 开始体验 · ✨ 交互式教程 · 🦞 学习 OpenClaw · 📖 查看目录

Read Online · Learning Map
开始阅读 · 学习地图

A beginner-friendly learning map _{Clear guidance from zero, so you can stop "learning and forgetting"}	Step-by-step visual tutorials _{Detailed walkthroughs that feel like learning with a private tutor}
Immersive simulated coding _{Virtual mouse guidance helps you quickly learn the core IDE workflow}	Visible AI principles _{Animated explanations make it easy to see how AI generates images}
Learn RAG like a game _{Interactive components let you click through the full RAG data flow}	Visual terminal concepts _{Command-line behavior becomes intuitive when the underlying logic is visualized}

⭐ Star the repo here to help accelerate updates ❤️

📝 Have your own vibe coding story? Submit it here and inspire others!

Why Easy-Vibe

Want an expense tracker? Say it.

Need a booking system with WeChat login? Say it.

Want a blog with comments? Say it.

In the AI era, programming starts by describing what you want.

Easy-Vibe teaches you how to turn that into a real product.

🔥 News

[2026-03-29] ✨ Vibe Stories launched and upgraded with real user journeys: Added a new homepage Vibe Stories section with an interactive carousel and dedicated story pages, then replaced placeholder content with four real user stories featuring a rural primary school teacher, a college student, a high school IT teacher, and a truck driver who built real products with AI. 👉 View the stories
[2026-03-26] 🚀 Major Stage 2 practice update: Completed the SaaS capstone project "Your First SaaS Full-Stack App: Copywriting Generator Website" and substantially expanded the "How to integrate Stripe and payment systems" section, plus key content around multi-product UI and WeChat Mini Program backend workflows.
[2026-03-25] 📚 New appendix: User Research and Requirement Validation: Added four new articles covering idea sourcing, the Double Diamond model, Jobs to Be Done, and The Mom Test to help beginners discover and validate product ideas. 👉 Read the appendix
[2026-03-25] 📚 English documentation fully updated: Stage 2 (Full-stack Development) and Stage 3 (Advanced Development) are now fully available in English. 👉 Start learning

Past News

[2026-03-02] 🦞 OpenClaw and AI Agent friendly support: Added llms.txt so OpenClaw, Claude, Cursor, Trae, and other AI agents can quickly understand the repository structure and find the right tutorial content.
[2026-03-01] The Advanced Development section has been comprehensively upgraded with deep guides for Claude Code, including MCP, Skills, Agent Teams, and more, along with eight cross-platform project tutorials.
[2026-02-25] Updated the Appendix Knowledge Base, now covering 9 knowledge areas and 80+ interactive topics.
[2026-01-27] Added Android and iOS app development tutorials.
[2026-01-19] Released interactive demos for Prompt Engineering, AI history, authentication design, Git principles, and more.
[2026-01-16] Reorganized the project structure and formally established a beginner entry path.
[2026-01-14] Completed a large update to the Stage 1 product prototyping docs.
[2026-01-13] Refactored the documentation architecture and fully enabled multi-language support.
[2026-01-01] Released the core learning map for the project.

Who This Is For

Complete beginners: Build your first project first, then understand how it works
Product managers / founders: Validate ideas fast and build MVPs at low cost
Students: Develop practical skills for the AI era
Junior developers: Learn the full path from idea to launch
Mid-level and senior developers: Upgrade your AI collaboration workflow for complex projects

Your Learning Paths

🎮 I want a fast first win

Best for: Everyone What you will learn: What AI coding actually feels like through a simple, concrete hands-on example What you will get: A clear first impression of vibe coding and how to work with AI by conversation

Start here

💡 I want to turn an idea into a product prototype

Best for: Beginners / product managers / founders What you will learn: Learning roadmap, AI IDE tools, idea validation, prototyping, AI capability integration, and full demo iteration What you will get: A demoable AI product prototype you can actually show to users or teammates

Start learning

🚀 I want to build full-stack products end to end

Best for: Junior developers / indie hackers / advanced learners What you will learn: Frontend workflows, design-to-code, databases, backend APIs, deployment, billing, and major projects What you will get: The ability to independently ship modern AI-enabled web applications

Start learning

AI-Native: I want advanced Claude Code and agent workflows

Best for: Developers interested in AI-native engineering What you will learn: Claude Code, MCP, Skills, Agent Teams, long-running tasks, Spec Coding, and cross-platform app delivery What you will get: A stronger workflow for complex AI-assisted development and automation

Go to advanced development

📚 I want reference material and fundamentals

Best for: Everyone What you will learn: Computer fundamentals, frontend/backend basics, infrastructure, AI principles, and engineering practices What you will get: A long-term reference knowledge base covering 9 major knowledge areas

Browse the knowledge base

Study Suggestions

If you are a beginner, product manager, or founder, start with Stage 1
If you want to move from prototypes to full-stack delivery, start with Stage 2
If you want advanced Claude Code workflows or cross-platform projects, go to Stage 3
If you get blocked by concepts or missing background knowledge, use the Appendix Knowledge Base

📖 Content Navigation

I. Beginner Entry

Section	Key Content
Learning Map	A guided overview of the full learning journey
AI Era: If You Can Speak, You Can Code	Get your first feel for AI coding through examples like Snake
Master AI Programming Tools	Learn how AI IDE tools work and build simple local projects with them
Find Great Ideas	Learn how to discover and validate product ideas worth building
Build Product Prototypes	Move from requirements to single-page and multi-page product prototypes
Integrate AI Capabilities	Integrate text, image, and video AI features
Complete project practice	Simulate real scenarios, collect user feedback, and iterate on a full project

Appendix: Product and Business Thinking

Section	Key Content
Product Thinking and Solution Design	Core frameworks for going from zero to one with a product
AI Industry Application Scenarios (B-end)	Understand how AI is applied across industries
AI Consumer Scenarios Inspiration (C-end)	Explore product opportunities in consumer AI

Appendix: User Research and Requirement Validation

Section	Key Content
Where to find ideas: 3 reference sources that work best for beginners	Build a reliable pipeline for finding concrete product opportunities
Double Diamond: first do the right thing, then do it right	Use a structured process to move from scattered inspiration to a workable direction
Use Jobs to Be Done to find what users really want done	Analyze user goals through real tasks instead of surface-level feature requests
The Mom Test: a user interview method for validating demand	Learn how to ask better questions and avoid false-positive feedback

Appendix: Technical Solutions

Section	Key Content
What to do if you encounter errors	Common vibe coding issues and how to troubleshoot them
Comparison of Seven AI Programming Tools	Compare major AI coding platforms through hands-on testing
Design Websites with Agents	Learn multi-agent collaboration in practice

II. Junior and Mid-Level Developers

Frontend

Section	Key Content
Frontend 0: Build Your Own Asset-Production Agent with Lovart	Use Nanobanana and Lovart to batch-generate visual assets and build a drawing agent with intent recognition
Frontend 1: Figma & MasterGo Basics	Learn the workflow from design drafts to implementation-ready UI thinking
Frontend 2: Build Your First Modern App - UI Design	Learn the UI design foundations behind modern application interfaces
Frontend 3: UI Guidelines and Multi-Product Design	Improve consistency and aesthetics across multiple products with shared UI rules
Frontend 4: Make Interfaces Beautiful with LLMs and Skills	Use prompts and plugins to make AI generate more polished, distinctive interfaces
Frontend 4: Let's Build Hogwarts Portraits	Build an interactive AI-image frontend project from scratch
Frontend 6: From Design Prototype to Project Code	Turn design prototypes into frontend code that can really run in the browser
Frontend 7: Upgrade Your UI with Modern Component Libraries	Use component libraries to build professional interfaces faster

Backend

Section	Key Content
Backend 1: Learn Git and GitHub	Master core version control operations and collaboration workflows with Git
Backend 2: From Database to Supabase	Learn relational database basics and use Supabase as a modern BaaS platform
Backend 3: Backend API Design and Development	Use AI to assist API design, backend code generation, and API documentation
Backend 4: Ship Your Product Prototype	Quickly deploy full-stack applications to the cloud with Zeabur
Backend 5: From IDEs to CLI AI Coding Tools	Explore terminal-first AI coding workflows for modern development
Backend 6: Integrate Stripe and Other Billing Systems	Add monetization with payment and billing capabilities

Major Projects

Section	Key Content
Major Project 1: Your First SaaS Full-Stack App - AI Copywriting Website	Build an AI marketing copy workspace with login, generation, billing, and admin management
Major Project 2: Online Exam and Management System	Build an online exam system with question generation, test-taking flows, and admin tools

AI Capabilities Appendix

Section	Key Content
AI 1: Dify Basics & Knowledge Base Integration	Learn to build AI applications with Dify and integrate private knowledge bases

III. Advanced Developers

Claude Code Core Skills

Section	Key Content
Getting started with Claude Code	Installation, setup, fundamentals, and useful commands
Claude Code MCP guide	Connect Claude Code to GitHub, databases, APIs, and other services through MCP
Claude Code Skills guide	Package expertise into reusable skills you can use again and again
How to keep Claude Code working for long-running tasks	Design long-running tasks so coding tools can keep working until the job is done
Claude Agent Teams guide	Coordinate multiple AI instances like a real development team
Claude Code Superpowers for engineering-grade development	Help AI produce engineering-grade code with TDD and best practices
Claude Code workflow best practices	Best practices for refactoring, code review, and daily development
Claude Code remote development on mobile	Use Claude Code beyond the desktop and build a productive remote workflow on mobile devices
Claude Agent SDK complete guide	Build custom agent workflows and integrate Claude into your own tools with the SDK
From vibe coding to spec coding	Move from ad-hoc prompting to a more structured, specification-driven AI development workflow

Cross-Platform Development

Section	Key Content
How to choose the right platform for your app	Compare app forms and choose the right platform based on users, scenarios, and delivery goals
Build a WeChat Mini Program	Understand the ecosystem and ship a frontend mini program from template to launch
Build a WeChat Mini Program with backend	Add backend logic and databases to complete the full business loop
Build an Android app	Learn Android app development with a modern native workflow
Build an iOS app	Learn iOS app development and the conventions of the Apple ecosystem
Build a local PWA app	Turn a website into a real app with offline support, push, and installation
Build a browser AI assistant extension	Create a Chrome extension that summarizes any page with either cloud APIs or built-in AI
Build an Electron desktop app	Build a voice-to-text desktop app with Electron for three platforms
Rapidly build and mint an NFT	Write a smart contract from scratch, deploy it, and mint your own NFT
Build a VS Code extension	Build an AI project assistant with templates, code chat, and multi-file Q&A
Build an industrial-grade Qt desktop app	Create a real-time Qt HMI system with trends, alerts, and monitoring

AI Capabilities Appendix

Section	Key Content
What is RAG and how does it work	Build a systematic understanding of RAG principles and common architectures
Intermediate and advanced RAG workflows with LangGraph	Design multi-step workflows and more advanced RAG systems

📚 Appendix Knowledge Base

Covering 9 major knowledge areas and 80+ interactive topics, this appendix uses animation and visual components to help you intuitively understand core concepts from computer fundamentals to the AI frontier.

👉 View the full appendix

🎓 Other Courses

🛠️ How To Learn

Read and practice the sections that match your current level. If you get stuck, feel free to open an issue.

💻 Run Locally

Modern approach

In an AI IDE chat window such as VS Code, Cursor, or Trae, you can simply say:

Please help me run this project locally.

Traditional approach

npm install
npm run dev
Open http://localhost:3000 in your browser.

Other Courses

Our team has also created other courses! Check them out:

Hands-on Modern RL: An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.

Learn Harness Engineering: A comprehensive guide to harness engineering.

🤝 Contributing & Contributors

If you find an issue or see something that can be improved, feel free to open an issue. If nobody replies, you can also contact the Datawhale support team.
If you want to contribute, open a pull request. If nobody replies, you can also contact the Datawhale support team.
If you want to start a new Datawhale open-source project, please follow the Datawhale Open Source Project Guide.

🙏 Contributors

Sanbu - Project Lead (Datawhale member)
Fang Ke - Mentor (Datawhale member, Tsinghua University)
Yerim Kang (Practice projects, Tsinghua University)
Zhilin Zhao (Practice projects, Tsinghua University)
Yixuan Li (Visual design, Tsinghua University)
Siyi Liu (Practice projects, Tsinghua University)
Lixin Liu (Practice projects, Tsinghua University)
Everyone in the AI Vibe Coding 101 internal testing group who shared suggestions and feedback

Special Thanks

Thanks to @Sm1les for the help and support on this project
Thanks to every contributor and everyone who supported the project with feedback and stars ❤️

📄 LICENSE

This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License .

Star History

browserbase/skills

Browserbase's official collection of agent skills to access the web.

Browserbase Skills

A set of skills for enabling Claude Code to work with Browserbase through browser automation and the official bb CLI.

Skills

This plugin includes the following skills (see skills/ for details):

Skill	Description
browser	Automate web browser interactions via CLI commands — supports remote Browserbase sessions with anti-bot stealth, CAPTCHA solving, and residential proxies
browserbase-cli	Use the official `bb` CLI for Browserbase Functions and platform API workflows including sessions, projects, contexts, extensions, fetch, and dashboard
functions	Deploy serverless browser automation to Browserbase cloud using the `bb` CLI
site-debugger	Diagnose and fix failing browser automations — analyzes bot detection, selectors, timing, auth, and captchas, then generates a tested site playbook
browser-trace	Capture a full DevTools-protocol trace (CDP firehose, screenshots, DOM dumps) alongside any browser automation, then bisect the stream into per-page searchable buckets
safe-browser	Build local Claude Agent SDK browser agents whose only browser capability is a CDP-gated `safe_browser` tool with domain allowlist enforcement
bb-usage	Show Browserbase usage stats, session analytics, and cost forecasts in a terminal dashboard
cookie-sync	Sync cookies from local Chrome to a Browserbase persistent context so the browse CLI can access authenticated sites
fetch	Fetch HTML or JSON from static pages without a browser session — inspect status codes, headers, follow redirects
search	Search the web and return structured results (titles, URLs, metadata) without a browser session
ui-test	AI-powered adversarial UI testing — analyzes git diffs to test changes, or explores the full app to find bugs

Installation

To install the skill to popular coding agents:

$ npx skills add browserbase/skills

Claude Code

On Claude Code, to add the marketplace, simply run:

/plugin marketplace add browserbase/skills

Then install the plugin:

/plugin install browse@browserbase

If you prefer the manual interface:

On Claude Code, type /plugin
Select option 3. Add marketplace
Enter the marketplace source: browserbase/skills
Press enter to select the browse plugin
Hit enter again to Install now
Restart Claude Code for changes to take effect

Usage

Once installed, you can ask Claude to browse or use the Browserbase CLI:

"Go to Hacker News, get the top post comments, and summarize them "
"QA test http://localhost:3000 and fix any bugs you encounter"
"Order me a pizza, you're already signed in on Doordash"
"Use bb to list my Browserbase projects and show the output as JSON"
"Initialize a new Browserbase Function with bb functions init and explain the next commands"
"Use safe-browser to build a Hacker News scraper that only stays on the main site"

Claude will handle the rest.

For local and localhost work, browse env local now starts a clean isolated browser by default. Use browse env local --auto-connect when the agent should reuse your existing local Chrome session, cookies, or login state.

Troubleshooting

Chrome not found

Install Chrome for your platform:

macOS or Windows: https://www.google.com/chrome/
Linux: sudo apt install google-chrome-stable

Profile refresh

To refresh cookies from your main Chrome profile:

rm -rf .chrome-profile

Resources

fspecii/ace-step-ui

🎵 The Ultimate Open Source Suno Alternative - Professional UI for ACE-Step 1.5 AI Music Generation. Free, local, unlimited. Stop paying for Suno!

ACE-Step UI

The Ultimate Open Source Suno Alternative
Seamless integration with ACE-Step 1.5 - The Open Source AI Music Generation Model

Demo • Why ACE-Step • Features • Installation • Usage • Contributing

🎬 Demo

Generate professional AI music with a Spotify-like interface - 100% free and local

🚀 Why ACE-Step UI?

Tired of paying $10+/month for Suno or Udio? ACE-Step 1.5 is the open source Suno killer that runs locally on your own GPU - and ACE-Step UI gives you a beautiful, professional interface to harness its full power.

Feature	Suno/Udio	ACE-Step UI
Cost	$10-50/month	FREE forever
Privacy	Cloud-based	100% local
Ownership	Licensed	You own everything
Customization	Limited	Full control
Queue Limits	Restricted	Unlimited
Commercial Use	Expensive tiers	No restrictions

What Makes ACE-Step 1.5 Special?

State-of-the-art quality rivaling commercial services
Full song generation up to 4+ minutes with vocals
Runs locally - no internet required after setup
Open source - inspect, modify, improve
Active development - constant improvements

✨ Features

🎵 AI Music Generation

Feature	Description
Full Song Generation	Create complete songs with vocals and lyrics up to 4+ minutes
Instrumental Mode	Generate instrumental tracks without vocals
Custom Mode	Fine-tune BPM, key, time signature, and duration
Style Tags	Define genre, mood, tempo, and instrumentation
Batch Generation	Generate multiple variations at once
AI Enhance	Enrich genre tags into detailed captions with proper BPM/key/time
Thinking Mode	Let AI reason about structure and generate audio codes

🎨 Advanced Parameters

Feature	Description
Reference Audio	Use any audio file as a style reference
Audio Cover	Transform existing audio with new styles
Repainting	Regenerate specific sections of a track
Seed Control	Reproduce exact generations for consistency
Inference Steps	Control quality vs speed tradeoff

🎤 Lyrics & Prompts

Feature	Description
Lyrics Editor	Write and format lyrics with structure tags
Format Assistant	AI-powered caption and lyrics formatting
Prompt Templates	Quick-start with genre presets
Reuse Prompts	Clone settings from any previous generation

🎧 Professional Interface

Feature	Description
Spotify-Inspired UI	Clean, modern design with dark/light mode
Bottom Player	Full-featured player with waveform and progress
Library Management	Browse, search, and organize all your tracks
Likes & Playlists	Organize favorites into custom playlists
Real-time Progress	Live generation progress with queue position
LAN Access	Use from any device on your local network

🛠️ Built-in Tools

Feature	Description
Audio Editor	Trim, fade, and apply effects with AudioMass
Stem Extraction	Separate vocals, drums, bass, and other with Demucs
Video Generator	Create music videos with Pexels backgrounds
Gradient Covers	Beautiful procedural album art (no internet needed)

💻 Tech Stack

Layer	Technologies
Frontend	React 18, TypeScript, TailwindCSS, Vite
Backend	Express.js, SQLite, better-sqlite3
AI Engine	ACE-Step 1.5 (Gradio API)
Audio Tools	AudioMass, Demucs, FFmpeg

📋 Requirements

Requirement	Specification
Node.js	18 or higher
Python	3.10+ (3.11 recommended) OR Windows Portable Package
NVIDIA GPU	4GB+ VRAM (works without LLM), 12GB+ recommended (with LLM)
CUDA	12.8 (for Windows Portable Package)
FFmpeg	For audio processing
uv	Python package manager (recommended for standard install)

⚡ Quick Start

🎯 Pinokio - 1-Click Install (Recommended for All Users!)

The easiest way to get ACE-Step UI up and running on any platform — no terminal, no manual setup:

Pinokio handles everything automatically: Python, Node.js, dependencies, model downloads, and launching. Just click install and start making music.

🪟 Windows - One-Click Start (Easiest!)

cd ace-step-ui
start-all.bat

That's it! This starts everything: API + Backend + Frontend in one command.

Note: By default, it looks for ACE-Step in ..\ACE-Step-1.5. If yours is elsewhere, set ACESTEP_PATH first:
set ACESTEP_PATH=C:\path\to\ACE-Step-1.5
start-all.bat

🪟 Windows - Manual Start

REM 1. Start ACE-Step Gradio (with API endpoints)
cd C:\ACE-Step-1.5
python_embeded\python -m acestep --port 8001 --enable-api --backend pt --server-name 127.0.0.1

REM 2. Start ACE-Step UI (in another terminal)
cd ace-step-ui
start.bat

Linux / macOS - One-Click Start (Easiest!)

cd ace-step-ui
./start-all.sh

That's it! This starts everything: Gradio + Backend + Frontend in one command.

Note: By default, it looks for ACE-Step in ../ACE-Step-1.5. If yours is elsewhere, set ACESTEP_PATH first:
export ACESTEP_PATH=/path/to/ACE-Step-1.5
./start-all.sh
To stop: ./stop-all.sh

Linux / macOS - Manual Start

# 1. Start ACE-Step Gradio with API (in ACE-Step-1.5 directory)
cd /path/to/ACE-Step-1.5
uv run acestep --port 8001 --enable-api --backend pt --server-name 127.0.0.1

# 2. Start ACE-Step UI (in another terminal)
cd ace-step-ui
./start.sh

Windows (Standard Installation)

REM 1. Start ACE-Step Gradio with API (in ACE-Step-1.5 directory)
cd C:\path\to\ACE-Step-1.5
uv run acestep --port 8001 --enable-api --backend pt --server-name 127.0.0.1

REM 2. Start ACE-Step UI (in another terminal)
cd ace-step-ui
start.bat

Open http://localhost:3000 and start creating!

📦 Installation

1. Install ACE-Step (The AI Engine)

🪟 Windows Portable Package (Recommended for Windows)

The easiest way to get started on Windows! This package includes everything pre-configured:

Download ACE-Step-1.5.7z (~5GB)
Extract to C:\ACE-Step-1.5 (or your preferred location)
Done! The package includes python_embeded with all dependencies

✅ Works with 4GB GPU - No LLM installation required ✅ CUDA 12.8 included ✅ Zero setup hassle

Note: Thinking Mode (LLM features) is automatically disabled on GPUs with <12GB VRAM. You can still enable it manually if you have 12GB+.

Standard Installation (All Platforms)

# Clone ACE-Step 1.5 - the open source Suno alternative
git clone https://github.com/ace-step/ACE-Step-1.5
cd ACE-Step-1.5

# Create virtual environment and install
uv venv
uv pip install -e .

# Models download automatically on first run (~5GB)
cd ..

2. Install ACE-Step UI (This Repository)

Linux / macOS

# Clone the UI
git clone https://github.com/fspecii/ace-step-ui
cd ace-step-ui

# Run setup script (installs all dependencies)
./setup.sh

Windows

REM Clone the UI
git clone https://github.com/fspecii/ace-step-ui
cd ace-step-ui

REM Run setup script (installs all dependencies)
setup.bat

Manual Installation (All Platforms)

# Install frontend dependencies
npm install

# Install server dependencies
cd server
npm install
cd ..

# Copy environment file
# Linux/macOS:
cp server/.env.example server/.env
# Windows:
copy server\.env.example server\.env

🎮 Usage

Step 1: Start ACE-Step Gradio Server

🪟 Windows Portable Package:

cd C:\ACE-Step-1.5
python_embeded\python -m acestep --port 8001 --enable-api --backend pt --server-name 127.0.0.1

Linux / macOS:

cd /path/to/ACE-Step-1.5
uv run acestep --port 8001 --enable-api --backend pt --server-name 127.0.0.1

Windows (Standard Installation):

cd C:\path\to\ACE-Step-1.5
uv run acestep --port 8001 --enable-api --backend pt --server-name 127.0.0.1

Wait for "API endpoints enabled" before proceeding.

Step 2: Start ACE-Step UI

Linux / macOS:

cd ace-step-ui
./start.sh

Windows:

cd ace-step-ui
start.bat

Step 3: Create Music!

Access	URL
Local	http://localhost:3000
LAN (other devices)	http://YOUR_IP:3000

⚙️ Configuration

Edit server/.env:

# Server
PORT=3001

# ACE-Step Gradio URL (must match --port used when starting ACE-Step)
ACESTEP_API_URL=http://localhost:8001

# Database (local-first, no cloud)
DATABASE_PATH=./data/acestep.db

# Optional: Pexels API for video backgrounds
PEXELS_API_KEY=your_key_here

🎼 Generation Modes

Simple Mode

Just describe what you want. ACE-Step handles the rest.

"An upbeat pop song about summer adventures with catchy hooks"

Custom Mode

Full control over every parameter:

Parameter	Description
Lyrics	Full lyrics with `[Verse]`, `[Chorus]` tags
Style	Genre, mood, instruments, tempo
Duration	30-240 seconds
BPM	60-200 beats per minute
Key	Musical key (C major, A minor, etc.)

AI Enhance & Thinking Mode

Mode	What it does	Speed impact
AI Enhance OFF	Sends your style tags directly to the model	Fastest
AI Enhance ON	LLM enriches your tags into a detailed caption and generates proper BPM, key, time signature	+10-20s
Thinking Mode	Full LLM reasoning with audio code generation	Slowest, best quality

Tip: If your genre tags (e.g. "pop, rock") produce ballad-like output, turn on AI Enhance for much better genre accuracy. No extra VRAM needed — the LLM runs on CPU with the PT backend.

Batch Size & Bulk Generation

Setting	Description
Batch Size	Number of variations generated per job (1-4). Default is 1 for broad GPU compatibility. Higher values generate more variations but use more VRAM. 8GB GPU users should keep this at 1.
Bulk Generate	Queue multiple independent generation jobs (1-10). Each job runs sequentially, so this is safe for any GPU.
LM Backend	Choose between PT (~1.6 GB VRAM) and VLLM (~9.2 GB VRAM). PT is the default and works on most GPUs.

Tip: Both batch size and bulk count are remembered in your browser — set them once and they stick for future sessions.

🔧 Built-in Tools

Tool	Description
🎚️ Audio Editor	Cut, trim, fade, and apply effects
🎤 Stem Extraction	Separate vocals, drums, bass, other
🎬 Video Generator	Create music videos with stock footage
🎨 Album Art	Auto-generated gradient covers

🐛 Troubleshooting

Issue	Solution
ACE-Step not reachable	Ensure Gradio server is running with `--enable-api` flag (see Usage section)
CUDA out of memory	Use `--backend pt` (default), set batch size to 1, reduce duration, or disable Thinking Mode
4GB GPU - Out of memory	Use PT backend (default), batch size 1, and keep Thinking Mode OFF. LLM features require 12GB+
Genre always sounds like ballad	Enable AI Enhance toggle in the Style section — it enriches your tags with proper metadata
AttributeError: 'NoneType'	Update to latest ACE-Step-1.5 (fix merged in PR #109)
Songs show 0:00 duration	Install FFmpeg: `sudo apt install ffmpeg` (Linux) or download from ffmpeg.org (Windows)
LAN access not working	Check firewall allows ports 3000 and 3001

🤝 Contributing

We need your help to make ACE-Step UI even better!

This is a community-driven project and contributions are what make open source amazing. Whether you're fixing bugs, adding features, improving documentation, or sharing ideas - every contribution counts!

Ways to Contribute

🐛 Report bugs - Found an issue? Open a GitHub issue
💡 Suggest features - Have an idea? We'd love to hear it
🔧 Submit PRs - Code contributions are always welcome
📖 Improve docs - Help others get started
⭐ Star the repo - Show your support!

How to Contribute

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

📣 Stay Connected

Subscribe and follow for:
🎥 Video tutorials and demos
🚀 New feature announcements
💡 Tips and tricks
🎵 AI music generation news

🙏 Credits

ACE-Step - The revolutionary open source AI music generation model
AudioMass - Web audio editor
Demucs - Audio source separation
Pexels - Stock video backgrounds

📄 License

This project is open source under the MIT License.

⭐ If ACE-Step UI helps you create amazing music, please star this repo! ⭐

Made with ❤️ for the open-source AI music community

Stop paying for Suno. Start creating with ACE-Step.

Haleclipse/CodexDesktop-Rebuild

Codex Desktop App - Cross-platform Rebuild

Codex Desktop Rebuild

Cross-platform Electron build for OpenAI Codex Desktop App.

Supported Platforms

Platform	Architecture	Status
macOS	x64, arm64	✅
Windows	x64	✅
Linux	x64, arm64	✅

Build

# Install dependencies
npm install

# Build for current platform
npm run build

# Build for specific platform
npm run build:mac-x64
npm run build:mac-arm64
npm run build:win-x64
npm run build:linux-x64
npm run build:linux-arm64

# Build all platforms
npm run build:all

Development

npm run dev

Project Structure

├── src/
│   ├── .vite/build/     # Main process (Electron)
│   └── webview/         # Renderer (Frontend)
├── resources/
│   ├── electron.icns    # App icon
│   └── notification.wav # Sound
├── scripts/
│   └── patch-copyright.js
├── forge.config.js      # Electron Forge config
└── package.json

CI/CD

GitHub Actions automatically builds on:

Push to master
Tag v* → Creates draft release

Credits

© OpenAI · Cometix Space

OpenAI Codex - Original Codex CLI (Apache-2.0)
Cometix Space - Cross-platform rebuild & @cometix/codex binaries
Electron Forge - Build toolchain

License

This project rebuilds the Codex Desktop app for cross-platform distribution. Original Codex CLI by OpenAI is licensed under Apache-2.0.

liyupi/ai-guide

程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude）、最新 AI 资讯、Prompt 提示词大全、AI 知识百科（Agent Skills / RAG / MCP / A2A）、AI 编程教程（Harness Engineering）、AI 工具用法（Cursor / Claude Code / TRAE / Codex / Copilot）、AI 开发框架教程（Spring AI / LangChain）、AI 产品变现指南，帮你快速掌握 AI 技术，走在时代前沿。本项目为开源文档，已升级为鱼皮 AI 导航网站

🐟 鱼皮的 AI 知识库

完全免费开放的 AI 知识共享平台 | 减少信息差，让每个人都能享受技术红利

这是一个 完全免费开放 的 AI 知识共享平台，汇总整合目前热门的 AI 工具相关信息，包括产品介绍、使用指南、工具测评、技巧分享、应用场景、AI 变现、行业资讯、教程资源等一系列内容。

鱼皮希望带领大家打破 AI 技术的信息壁垒，让每个人都能平等获取 AI 时代的工具与认知，利用科技让生活更美好。

🌐 Translations

English | 繁體中文

🔥 鱼皮的 Vibe Coding 零基础入门教程

如今 Vibe Coding（氛围编程） 已经火遍全网！不仅是程序员，连设计师、产品运营、甚至完全不懂技术的人都开始用 Vibe Coding 实现自己的想法，用 AI 做出了自己的产品并盈利变现。

我一人爆肝创作了这套《Vibe Coding 零基础入门教程》，上千张图、几十万字，结合了我两年半的 AI 编程经验 + 项目开发经验 + 产品变现经验，目标只有一个：

帮助任何人快速掌握 Vibe Coding，哪怕零基础，也能快速开发上线自己的产品并盈利。

臭不要脸一下，我敢说这套免费教程吊打 90% 的付费 Vibe Coding 内容。

教程包含什么？

我精心梳理了内容结构，让你能够一条龙学习，或者快速找到适合自己阅读的内容。

基础必读：帮你快速理解 Vibe Coding 并上手实践，10 分钟做出第一个作品
编程工具：帮你选择适合自己的 AI 编程工具，包括 AI 模型选择、AI 零代码平台、AI 智能体平台、AI 代码编辑器、AI 命令行工具、IDE 插件等
项目实战：手把手带你从 0 到 1 做出真实可用的产品，覆盖个人工具、AI 应用、全栈应用、小程序等多种类型
经验技巧：帮你提升 Vibe Coding 效率和质量，包括核心心法、对话工程、上下文管理、幻觉处理、代码质量保障等
产品变现：教你如何让产品产生价值，涵盖需求分析、技术选型、架构设计、盈利模式、SEO 优化、自媒体运营等
编程学习：为想深入学习编程的同学准备的进阶内容，包括学习路线、知识百科、资源大全、MCP 开发、面试刷题等
资源宝库：汇集各种实用资源，包括工具大全、提示词模板、AI 概念大全、Vibe Coding 常见问题等

学习路径推荐

零基础新手：

第 1 天：读完基础必读，理解 Vibe Coding 并做出第一个作品
第 1-2 周：学习 AI 编程工具 + 做几个简单项目
之后：按需学习经验技巧和产品变现

有编程基础：

第 1 天：快速过完基础内容，完成快速上手教程
第 1 周：学习主流 AI 编程工具，尝试重构之前的项目
之后：重点学习进阶技巧，提升对话和上下文管理能力

AI 知识库导航

新手入门

资源	链接
AI 基础概念	动画解释大模型
关于 DeepSeek	什么是 DeepSeek ｜快速上手指南
本地部署	DeepSeek 本地部署｜ API 调用教程
提问技巧	DeepSeek 提问技巧｜去除文章 AI 味
学习资料	清华大学 DeepSeek 指南｜免费 AI 学习资源

AI 编程

类别	精选内容
🔥 热门教程	AI 智能体项目｜ AI 零代码平台｜ AI 大模型应用开发学习路线
Cursor 技巧	一文秒懂 Cursor 开发的正确姿势｜ 10 个超实用的 Cursor 使用技巧｜ 7 个 Cursor 极限省钱大法
实战项目	用 DeepSeek 给对象做网站｜模拟面试系统｜亲戚计算器
进阶技术	Claude Code 神级技巧｜用 AI 手搓 Claude Code ｜ MCP 服务开发
框架整合	Spring AI 1.0 核心能力体验｜ Spring AI Alibaba 1.0 速览

AI 工具测评

测评内容
🆕 GPT-5 炸裂登场！可免费使用
Claude 4 炸裂发布！凭什么敢称宇宙最强编程 AI？
Cursor 2.0 炸裂发布！这 3 大亮点必学
Gemini 3.0 发布！前端又无了？
开源 AI 编程工具能干掉 Claude Code？OpenCode 体验实测！
3 大模型对比测试！AI 争霸赛谁赢了？
全球首个无限执行的 AI！Flowith 体验
Gemini CLI 首测，免费开源很香，但坑点很多！

其他 AI 应用场景

场景	教程
视频创作	用 AI 做千万播放的爆款视频！｜ 1 分钟做出动物奥运会视频！
办公效率	AI 王炸组合，自动生成 PPT ｜干掉 Draw.io 的画图神器
知识管理	轻松搭建 DeepSeek 个人知识库｜让 AI 帮我读文档
求职提升	用 AI 润色简历｜ 3 个免费 AI 文章检测工具

仓库结构

ai-guide/
├── 🔥 Vibe Coding 零基础教程/     # 重磅教程，强烈推荐
│   ├── 00 Vibe Coding 简介
│   ├── 01 快速上手 Vibe Coding
│   ├── 10 编程工具/
│   ├── 20 项目实战/
│   ├── 30 经验技巧/
│   ├── 40 编程学习/
│   ├── 50 产品变现/
│   └── ...
├── AI/
│   ├── 鱼皮的 AI 指南/            # AI 核心概念、工具、技巧
│   ├── 关于 DeepSeek/             # DeepSeek 基础知识
│   ├── DeepSeek 使用指南/         # 安装、使用、技巧大全
│   ├── DeepSeek 技术解析/         # 深度技术解读
│   ├── DeepSeek 资源汇总/         # 资源、教程、开源项目
│   ├── AI 应用场景/               # 创意设计、效率提升、编程开发
│   ├── AI 项目教程/               # 实战项目教程
│   └── AI 行业资讯/               # 最新行业动态
└── 产品服务/                      # 鱼皮的产品和服务

交流渠道

欢迎加入我们的 AI 交流群，关注公众号：【程序员鱼皮】，获取更多最一手 AI 资讯，一起探讨 AI 应用实践。

参与共建

如果你也是 AI 探索者、爱好者，并且乐于分享和沉淀你的知识和奇思妙想，欢迎加入进来参与知识库共建，一起构建属于所有人的 AI 知识宝藏！

🎉 你将收获：

收获	说明
🌟 影响力提升	在活跃社区中展示才华，建立个人品牌与专业声誉
📚 深度学习	接触多元视角，与同行切磋，加速个人成长
🏆 价值认同	您的贡献将被明确署名，获得社区成员的尊重与感谢
🤝 拓展人脉	连接志同道合的伙伴，融入充满活力的 AI 生态圈

联系方式（vx）：yupi996

感谢 Star

如果这个项目对你有帮助，请给一个 Star ⭐️ 支持一下！

写在最后

我一直相信，知识分享是互利共赢的。

这套教程完全免费开源，希望能帮更多人打开 Vibe Coding 的大门。

但毕竟是一个人编写的，会有不足的地方，我会持续更新和完善内容。

如果这套教程对你有帮助的话，希望能点赞或者 Star ⭐️ 支持一下！

别犹豫，现在就打开教程，10 分钟后你就能做出第一个作品，跟着鱼皮一起开启 Vibe Coding 之旅吧！🛫

📖 教程文档开源地址：https://github.com/liyupi/ai-guide

🌐 教程在线阅读地址：https://ai.codefather.cn/vibe

🎬 作者的视频合集：https://space.bilibili.com/12890453

💬 交流反馈：欢迎在 AI 导航社区提问

is-a-dev/register

Grab your own sweet-looking '.is-a.dev' subdomain.

is-a.dev

is-a.dev is a service that allows developers to get a sweet-looking .is-a.dev subdomain for their personal websites.

Announcements

Please join our Discord server for announcements, service updates, and downtime notifications regarding the service.

Not all announcements are posted on GitHub^[1], however they will always be posted in our Discord server.

Register

If you want a visual guide, check out this blog post.

Fork the repository.
Follow the instructions on our documentation.
Once you open your pull request (PR), it will be reviewed. Keep an eye on it in case changes are needed!
- If changes have been requested, please make the specified changes otherwise you will be rejected.
Once your PR is merged, your DNS records should be published with-in a few minutes.
Enjoy your new .is-a.dev subdomain! Please consider leaving a star ⭐️ to help support us!

Spam Pull Requests

With the recent rising of invalid PRs, including PRs generated with AI, we reserve the right to:

Close these PRs without explanation.
Block or limit the author's ability to interact with is-a.dev's repositories and resources.
Remove any existing domains owned by the author if connected to TOS-violating content.

Report Abuse

If you find any subdomains being abused or breaking our TOS, please report them by creating an issue with relevant evidence.

We are supported by Cloudflare's Project Alexandria sponsorship program, we would not be able to operate without their help!

We only post announcements on GitHub in the case of a serious incident, which you'll see at the top of this README. ↩︎

hmjz100/LinkSwift

一个基于 JavaScript 的网盘文件下载地址获取工具。基于【网盘直链下载助手】修改，支持百度网盘 / 阿里云盘 / 中国移动云盘 / 天翼云盘 / 迅雷云盘 / 夸克网盘 / UC网盘 / 123云盘八大网盘

Important

如果您是从 GreasyFork 找到这的，建议前往下方的安装选择一个合适的源覆盖安装，避免因脚本失效或 GF 黑产刷子导致无法及时更新。

“出淤泥而不染，濯清涟而不妖”

搭配使用，效果更佳！👋扩展脚本
123 云盘会员青春版 | 百度网盘会员青春版 | 阿里云盘会员青春版
↓ ↓ ↓ ↓ ↓

介绍

支持百度网盘 / 阿里云盘 / 中国移动云盘 / 天翼云盘 / 迅雷云盘 / 光鸭云盘 / 夸克网盘 / UC网盘 / 123云盘九大网盘
相比较原脚本，增加了更多功能~

安装

根据需要选择合适的源，点击链接即可安装

LinkSwift

直链获取、UI 美化、支持多种下载器

正式版

Github 国际: hmjz100/LinkSwift/（改）网盘直链下载助手.user.js
OpenUserJS 国际（更新不及时）: hmjz100/LinkSwift.user.js
脚本猫国内: hmjz100/1604/LinkSwift.user.js

金丝雀版

此版本可能不稳定，但有着最新的功能、修复等。

Github 国际: hmjz100/LinkSwift/（改）网盘直链下载助手.user.js

说明

Important

本项目所获取的下载链接均基于各大网盘服务商公开的 API 接口获取。
项目未以任何形式承诺、宣传或实现对网盘限速机制、功能的破解。

若在实际使用过程中获得较快的下载速度，通常系由于服务商接口策略、用户本地网络环境或服务商阶段性下发的带宽限制调整所致，
请勿将其误解为本项目具备破解限速的能力或提供相应服务。

Important

本项目始终遵循合规与克制的原则，坚持技术中立，不触及、不损害任何网盘服务商的核心利益，
仅为协助无法或不便使用官方客户端的用户实现合法的文件下载需求。

任何第三方在推广、转载或介绍本项目过程中所作出的夸大、误导性宣传*，均不代表本项目立场。
由此产生的一切后果与责任，与本项目无关，须由相关行为主体自行承担。
*（包括但不限于 “加速下载”“速度起飞”“限速破解” 等表述）

基于【网盘直链下载助手】修改

原作者: 油小猴
原仓库: https://github.com/syhyz1990/baiduyun
本脚本发布至脚本猫: https://scriptcat.org/script-show-page/1604
- 还有 OpenUserJS: https://openuserjs.org/scripts/hmjz100/LinkSwift

卑微的小标题

~~这个脚本只有一个人在修改~~~ 如果喜欢的话还请留个 Star 哦~

为确保高效处理反馈，如有 Bug 等问题请在此平台发布议题反馈，其余平台的反馈将不会被受理。

贡献者

感谢下列为本项目做过贡献的开发者！

版本号

正式版：v1.1.3
测试版：v1.1.3.1-Preview
本脚本目前仅在 Github、Gitee、脚本猫脚本站与 OpenUserJS 发布；
如果您是在其他渠道获取到本脚本的，安装后所带来的问题开发者概不负责。

更新日志

版本号	创建日期	更新日志
1.1.3	2026年02月16日	LinkSwift 开发者在此祝您新春快乐！爆竹声中一岁除，春风送暖入屠苏。LinkSwift 迎来功能更新： 1、新增 - IDM 客户端设置； 2、优化 - 链接缓存、浮动提示框； 3、适配 - 百度网盘分享页。
1.1.2.1	2025年12月28日	1、新增 - API 下载的推送到 IDM 功能；（感谢 Night Stars 的帮助） 2、修复 - 复制 Aria2、cURL 命令行错误。
1.1.2	2025年12月26日	1、适配 - 123 云盘新策略； 2、适配 - 夸克、UC 网盘分享页； 3、新增 - 增强下载的多块多线程支持； 4、优化 - 页面绿化的部分匹配规则； 5、优化 - 增强下载进度条样式。
1.1.1.9	2025年09月13日	1、修复 - 123 云盘下载视频变为缩略图。
1.1.1.8	2025年09月11日	1、修复 - 适配新版 123 云盘分享页。
1.1.1.7	2025年08月02日	1、修复 - 缺失声明 (at)connect 导致的问题。
1.1.1.6	2025年07月28日	1、废弃 - 百度网盘 BDUSS Cookie 相关代码，转向使用更安全的 AccessToken； 2、废弃 - 百度网盘分享页面下载相关代码； 3、优化 - 下载窗口可在设置改变后动态修改界面。
1.1.1.5	2025年07月21日	1、增加 AB Download Manager 下载方式； 2、支持从设置页面一键返回下载窗口，无需重复获取链接。
1.1.1.4	2025年07月19日	1、适配 123 云盘新版页面。
1.1.1.3	2025年06月19日	1、修复夸克网盘无法获取下载链接的 Bug； 2、修复 API 下载无法复制全部链接。
1.1.1.2	2025年06月08日	1、修复无法删除第一项远程配置的 Bug。
1.1.1.1	2025年06月02日	1、修复推送到 Aria2 时推送成功但报错的 Bug。
1.1.1	2025年06月01日	六一儿童节快乐！萌萌哒更新~ 1、配置文件格式更新，支持添加、删除、切换多个服务配置； 2、支持比特彗星推送下载，原 RPC 已并入 Aria2 下载； 3、界面增加 Font Awesome 图标！更好看啦； 4、优化脚本代码、界面，运行更轻快； 5、修复上个版本遗存的问题。
1.1.0.1	2025年05月09日	1、修复查看 RPC 下载任务的 Bug。
1.1.0	2025年05月08日	1、支持 UC 网盘、123 云盘； 2、改进了网盘主题的注入方式； 3、聚合并重构了部分重复函数，对整体脚本逻辑进行了梳理和精简； 4、将脚本执行阶段从 document-body 适配为 document-start。
1.0.9.7	2025年02月13日	1、修复移动云盘下载错误； 2、优化代码，更好的错误识别； 3、去除了油小猴云服务。
1.0.9.6	2024年10月28日	1、支持在百度网盘中选择文件夹下载； 2、优化部分提示。
1.0.9.5	2024年10月14日	1、修复因代码逻辑错误而无法获取链接的 Bug。
1.0.9.4	2024年10月09日	1、修复因百度网盘 AccessToken 过期导致无法获取链接的 Bug。
1.0.9.3	2024年08月10日	1、若网盘不支持在分享中下载，将仅显示保存网盘按钮； 2、优化下载界面，支持选择 Iframe 或 Blob 的方式来下载文件，增加按钮的提示文本； 3、优化 CSS 样式，统一了 SweetAlert2 按钮样式，同时适配了 Dark Reader 插件，界面更协调； 4、支持修改油小猴网站主题色； 5、原有主题相关设置现已移动至助手美化页面中。
1.0.9.2	2024年08月04日	1、修复使用API下载时有可能会导致IDM无限弹窗的Bug。
1.0.9.1	2024年07月30日	1、修复在百度网盘旧版下脚本无法删除元素的Bug。
1.0.9	2024年07月29日	1、跟进官方V6.2.7，修复因无法进行百度授权而导致获取直链报错 9019 的 Bug。
1.0.8.9	2024年07月22日	1、跟进官方V6.2.3，优化保存到网盘提示，修复阿里云盘、移动云盘失效的问题； 2、优化修改网盘主题的代码，减少对页面的破坏。
1.0.8.8	2024年05月09日	1、修复下载菜单字体过小的Bug。
1.0.8.7	2024年05月06日	1、修复在阿里云盘分享页面下点击“未点亮”按钮时没有任何反应的Bug； 2、更新并优化网盘界面精简规则； 3、支持更换百度网盘、阿里云盘、迅雷云盘、夸克网盘、移动云盘界面的主题颜色。
1.0.8.6	2024年04月08日	1、新增移动云盘会员中心页面，可在网盘中点击“会员中心”按钮查看(但无法使用第三方支付)。
1.0.8.5	2024年04月07日	1、跟进官方V6.1.6，修复迅雷网盘分享页面无法选中文件，修复移动云盘无法判断页面。
1.0.8.4	2024年04月07日	1、修复因重复绑定按钮而导致命令重复执行的Bug； 2、优化调试信息界面排版； 3、移除对百度网盘手机网页版的支持。
1.0.8.3	2024年02月11日	1、适配阿里云盘新域名alipan.com。
1.0.8.2	2023年11月29日	1、更换新图标。
1.0.8.1	2023年11月25日	1、修复因重复绑定按钮而导致RPC下载会发送多条下载请求的Bug； 2、选择不使用油小猴服务器时，“用ghproxy连接Github仓库”更换为“用jsdelivr连接Github仓库”； 3、跟进官方V6.1.4版本，修复移动网盘无法获取链接，支持阿里云盘新域名alipan.com。
1.0.8	2023年11月05日	1、修复迅雷网盘勾选文件后仍提示未勾选。
1.0.7.9	2023年11月05日	1、更新精简网盘元素匹配规则，防止因通知横条而导致不能点到“API下载”以下的按钮。
1.0.7.8	2023年09月10日	1、跟进官方V6.1.2，加入V2接口； 2、修复百度网盘下载时因为获取不到accessToken而一直转圈。
1.0.7.7	2023年09月03日	1、修复百度网盘的按钮会因为主题不同而被改变颜色的Bug； 2、更新夸克网盘按钮与界面。
1.0.7.6	2023年09月01日	1、修复“注入”功能； 2、黑暗模式支持随设置热切换。
1.0.7.5	2023年08月31日	1、修复阿里云盘下载逻辑； 2、精简代码； 3、支持深色模式； 4、修改部分提示文本； 5、修改部分CSS； 6、设置可测试RPC连接。
1.0.7.4	2023年08月27日	1、优化下载逻辑； 2、修复阿里云盘无法使用API下载。
1.0.7.3	2023年08月24日	1、如果出现网络请求错误时支持自动重新请求； 2、可选择是否使用油小猴服务器。
1.0.7.2	2023年07月29日	1、修复使用RPC下载时会重复发送链接的Bug。
1.0.7.1	2023年07月27日	1、[实验功能，不影响正常使用]支持百度网盘手机网页版，勾选文件后可在顶栏找到“下载助手”按钮。
1.0.7	2023年07月26日	1、重构夸克网盘、阿里云盘按钮。
1.0.6.9	2023年07月25日	1、下载窗口加入关闭按钮。
1.0.6.8	2023年07月24日	1、修复夸克网盘按钮错位。
1.0.6.7	2023年07月24日	1、将百度网盘界面修改为主题色，可在设置选择是否修改； 2、增加主题色名称，更改部分内容颜色； 3、移动云盘API下载支持批量复制； 4、优化控制台输出结果； 5、百度网盘API下载不使用IDM时可以显示剩余时间； 6、“取消点亮按钮”按钮的位置现已移动到设置页面。 7、homo特有的彩蛋又回来力(喜)。
1.0.6.6	2023年06月07日	1、修复暗号错误。
1.0.6.5	2023年06月04日	1、修复即使输入正确暗号也不能成功点亮按钮的服务器错误。
1.0.6.4	2023年06月02日	1、跟进官方V6.1.1版本，修复阿里云盘获取下载链接时的问题。
1.0.6.3	2023年05月19日	1、照顾小屏幕用户，将始终显示复制全部链接的按钮； 2、增加取消下载时的动画。
1.0.6.2	2023年05月08日	1、修复部分界面错位，实现CSS内置； 2、百度网盘界面将变得更加简洁。
1.0.6.1	2023年05月06日	1、新增百度云盘API下载支持复制链接； 2、为了照顾手机浏览器用户，增大项目之间间隙，新增隐藏IDM提示选项，可在助手设置中启用； 3、修改CSS，界面会出现更多的主题色； 4、支持在油小猴官网查看暗号； 5、修复部分语法错误。
1.0.6	2023年04月15日	1、修复了打开阿里云盘分享连接时因下载移动端广告导致只能点击API下载； 2、跟进官方6.0.4版本，修复夸克网盘获取下载链接失效、支持移动云盘。
1.0.5.5	2023年04月01日	1、感谢Night Stars的帮助，修复因为原作者服务器导致的初始化暗号识别错误； 2、修改一些文本以及提供给服务器的信息。
1.0.5.4	2023年03月13日	1、小修小改css，让主题色出现在更多地方； 2、修改下载链接获取失败的提示； 3、增加更多的主题色，可在助手设置查看； 4、homo彩蛋被删去力（悲）。
1.0.5.3	2023年03月10日	1、阿里云盘可以摸到下载菜单了。
1.0.5.2	2022年10月04日	1、增加脚本信息菜单； 2、优化阿里云盘显示svg图片； 3、修改弹窗按钮颜色。
1.0.5.1	2022年09月30日	1、修复在切换按钮主题后夸克网盘不能正常显示按钮。
1.0.5	2022年09月21日	1、跟进官方5.9.4版，修复文件名识别。
1.0.4	2022年08月13日	1、修复了原作者留下的夸克网盘切换文件夹就多一个“下载助手”按钮的大BUG； 2、在下载菜单增加“助手设置”“更新日志”按钮； 3、修改阿里云盘和夸克网盘下载助手按钮样式； 4、增加“取消点亮按钮”油猴菜单； 5、修改部分css，使其与选择的主题更贴切。
1.0.3	2022年08月11日	1、增加homo特有的彩蛋
1.0.2	2022年08月10日	1、修改并加宽界面，调整部分css，使Sweetalert2界面更美观，更与原版相近； 2、修改部分提示文字，使文字更容易复制。
1.0.1	2022年08月10日	1、去除更新提示； 2、更新Sweetalert2至11版本。
1.0.0	2022年08月10日	(脚本发布) 1、增加“注入”功能（bushi）； 2、去除广告。

这是给认真阅读完README文件的人的赞美

个人博客: https://hmjz100blog.rf.gd

pbakaus/impeccable

The design language that makes your AI harness better at design.

Impeccable

The vocabulary you didn't know you needed. 1 skill, 23 commands, and curated anti-patterns for impeccable frontend design.

Quick start: Visit impeccable.style to download ready-to-use bundles.

Why Impeccable?

Anthropic's frontend-design was the first widely-used design skill for Claude. Impeccable started from there.

Every model trained on the same SaaS templates. Skip the guidance and you get the same handful of tells on every project: Inter for everything, purple-to-blue gradients, cards nested in cards, gray text on colored backgrounds, the rounded-square icon tile above every heading.

Impeccable adds:

7 domain reference files (view source). Typography, color, motion, spatial, interaction, responsive, UX writing. Load on every command, alongside a brand-vs-product register that adjusts the defaults.
23 commands. A shared design vocabulary with your AI: polish, audit, critique, distill, animate, bolder, quieter, and more.
27 deterministic anti-pattern rules plus a 12-rule LLM critique pass. CLI and browser extension run the deterministic ones with no LLM and no API key. Each is tied to specific design guidance the skill teaches against.

What's Included

The Skill: impeccable

A comprehensive design skill with 7 domain-specific references (view skill):

Reference	Covers
typography	Type systems, font pairing, modular scales, OpenType
color-and-contrast	OKLCH, tinted neutrals, dark mode, accessibility
spatial-design	Spacing systems, grids, visual hierarchy
motion-design	Easing curves, staggering, reduced motion
interaction-design	Forms, focus states, loading patterns
responsive-design	Mobile-first, fluid design, container queries
ux-writing	Button labels, error messages, empty states

23 Commands

All commands are accessed through /impeccable:

Command	What it does
`/impeccable craft`	Full shape-then-build flow with visual iteration
`/impeccable teach`	One-time setup: gather design context, write root PRODUCT.md and DESIGN.md
`/impeccable document`	Generate root DESIGN.md from existing project code
`/impeccable extract`	Pull reusable components and tokens into the design system
`/impeccable shape`	Plan UX/UI before writing code
`/impeccable critique`	UX design review: hierarchy, clarity, emotional resonance
`/impeccable audit`	Run technical quality checks (a11y, performance, responsive)
`/impeccable polish`	Final pass, design system alignment, and shipping readiness
`/impeccable bolder`	Amplify boring designs
`/impeccable quieter`	Tone down overly bold designs
`/impeccable distill`	Strip to essence
`/impeccable harden`	Error handling, i18n, text overflow, edge cases
`/impeccable onboard`	First-run flows, empty states, activation paths
`/impeccable animate`	Add purposeful motion
`/impeccable colorize`	Introduce strategic color
`/impeccable typeset`	Fix font choices, hierarchy, sizing
`/impeccable layout`	Fix layout, spacing, visual rhythm
`/impeccable delight`	Add moments of joy
`/impeccable overdrive`	Add technically extraordinary effects
`/impeccable clarify`	Improve unclear UX copy
`/impeccable adapt`	Adapt for different devices
`/impeccable optimize`	Performance improvements
`/impeccable live`	Visual variant mode: iterate on elements in the browser

Use /impeccable pin <command> to create standalone shortcuts (e.g., pin audit creates /audit).

Usage Examples

/impeccable audit blog           # Audit blog hub + post pages
/impeccable critique landing     # UX design review
/impeccable polish settings      # Final pass before shipping
/impeccable harden checkout      # Add error handling + edge cases

Or use /impeccable directly with a description:

/impeccable redo this hero section

Anti-Patterns

The skill includes explicit guidance on what to avoid:

Don't use overused fonts (Arial, Inter, system defaults)
Don't use gray text on colored backgrounds
Don't use pure black/gray (always tint)
Don't wrap everything in cards or nest cards inside cards
Don't use bounce/elastic easing (feels dated)

See It In Action

Visit impeccable.style to see before/after case studies of real projects transformed with Impeccable commands.

Installation

Option 1: Download from Website (Recommended)

Visit impeccable.style, download the ZIP for your tool, and extract to your project.

Option 2: Copy from Repository

Cursor:

cp -r dist/cursor/.cursor your-project/

Note: Cursor skills require setup:

Switch to Nightly channel in Cursor Settings → Beta

Enable Agent Skills in Cursor Settings → Rules

Learn more about Cursor skills

Claude Code:

# Project-specific
cp -r dist/claude-code/.claude your-project/

# Or global (applies to all projects)
cp -r dist/claude-code/.claude/* ~/.claude/

OpenCode:

cp -r dist/opencode/.opencode your-project/

Pi:

cp -r dist/pi/.pi your-project/

Gemini CLI:

cp -r dist/gemini/.gemini your-project/

Note: Gemini CLI skills require setup:

Install preview version: npm i -g @google/gemini-cli@preview

Run /settings and enable "Skills"

Run /skills list to verify installation

Learn more about Gemini CLI skills

Codex CLI:

# Project-local
cp -r dist/agents/.agents your-project/

# Or user-wide
mkdir -p ~/.agents/skills
cp -r dist/agents/.agents/skills/* ~/.agents/skills/

GitHub Copilot:

cp -r dist/github/.github your-project/

Trae:

# Trae China (domestic version)
cp -r dist/trae/.trae-cn/skills/* ~/.trae-cn/skills/

# Trae International
cp -r dist/trae/.trae/skills/* ~/.trae/skills/

Note: Trae has two versions with different config directories:

Trae China: ~/.trae-cn/skills/

Trae International: ~/.trae/skills/

After copying, restart Trae IDE to activate the skills.

Rovo Dev:

# Project-specific
cp -r dist/rovo-dev/.rovodev your-project/

# Or global (applies to all projects)
cp -r dist/rovo-dev/.rovodev/skills/* ~/.rovodev/skills/

Qoder:

# Project-specific
cp -r dist/qoder/.qoder your-project/

# Or global (applies to all projects)
cp -r dist/qoder/.qoder/skills/* ~/.qoder/skills/

Usage

Once installed, use commands in your AI harness:

/audit           # Find issues
/normalize       # Fix inconsistencies
/polish          # Final cleanup
/distill         # Remove complexity

Most commands accept an optional argument to focus on a specific area:

/audit header
/polish checkout-form

Note: Codex uses skills here, not /prompts: commands. Open /skills or type $impeccable. Repo-local installs live in .agents/skills/; user-wide installs live in ~/.agents/skills/. GitHub Copilot uses .github/skills/. Restart the tool if a newly installed skill does not appear.

CLI

Impeccable includes a standalone CLI for detecting anti-patterns without an AI harness:

npx impeccable detect src/                   # scan a directory
npx impeccable detect index.html             # scan an HTML file
npx impeccable detect https://example.com    # scan a URL (Puppeteer)
npx impeccable detect --fast --json .        # regex-only, JSON output

The detector catches 24 issues across AI slop (side-tab borders, purple gradients, bounce easing, dark glows) and general design quality (line length, cramped padding, small touch targets, skipped headings, and more).

Supported Tools

Community & Ecosystem

Join the community and ecosystem conversations:

GitHub Discussions: file bugs, request features, and help newcomers.
Impeccable on npm: grab the CLI, follow releases, and star the package.
Follow @pbakaus on Twitter for release notes, sample lint reports, and video highlights of new rules.

Contributing

See DEVELOP.md for contributor guidelines and build instructions.

License

Apache 2.0. See LICENSE.

The impeccable skill builds on Anthropic's original frontend-design skill. See NOTICE.md for attribution.

Created by Paul Bakaus

WhiskeySockets/Baileys

Socket-based TS/JavaScript API for WhatsApp Web

Caution

NOTICE OF BREAKING CHANGE.

As of 7.0.0, multiple breaking changes were introduced into the library.

Please check out https://whiskey.so/migrate-latest for more information.

Baileys is a WebSockets-based TypeScript library for interacting with the WhatsApp Web API.

Join the WhiskeySockets community via the link: https://whiskey.so/discord

Usage & Guide

Important

The new guide is a work in progress. Expect missing pages/content. Report missing or incorrect content.

You can still access the old guide here: README.md, or the NPM homepage.

The new guide is posted at https://baileys.wiki .

Get Support

If you'd like business to enterprise-level support from Rajeh, the current maintainer of Baileys, you can book a video chat. Book a 1 hour time slot by contacting him on Discord or pre-ordering here. The earlier you pre-order the better, as his time slots usually fill up very quickly. He offers immense value per hour and will answer all your questions before the time runs out.

If you are a business, we encourage you to contribute back to the high development costs of the project and to feed the maintainers who dump tens of hours a week on this. You can do so by booking meetings or sponsoring below. All support, even in bona fide / contribution hours, is welcome by businesses of all sizes. This is not condoning or endorsing businesses to use the library. See the Disclaimer below.

Sponsor

If you'd like to financially support this project, you can do so by supporting the current maintainer here.

Disclaimer

Caution

This project is not affiliated, associated, authorized, endorsed by, or in any way officially connected with WhatsApp or any of its subsidiaries or its affiliates. The official WhatsApp website can be found at whatsapp.com. "WhatsApp" as well as related names, marks, emblems and images are registered trademarks of their respective owners.

The maintainers of Baileys do not in any way condone the use of this application in practices that violate the Terms of Service of WhatsApp. The maintainers of this application call upon the personal responsibility of its users to use this application in a fair way, as it is intended to be used. Use at your own discretion. Do not spam people with this. We discourage any stalkerware, bulk or automated messaging usage.

License

Licensed under the MIT License: Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Thus, the maintainers of the project can't be held liable for any potential misuse of this project.

playcanvas/engine

Powerful web graphics runtime built on WebGL, WebGPU, WebXR and glTF

PlayCanvas Engine

PlayCanvas is an open-source game engine built on WebGL2 and WebGPU. Use it to create interactive 3D apps, games and visualizations that run in any browser on any device.

English 中文日本語 한글

Install

npm install playcanvas

Or scaffold a full project in seconds with create-playcanvas:

npm create playcanvas@latest

Usage

Here's a super-simple Hello World example - a spinning cube!

import {
  Application,
  Color,
  Entity,
  FILLMODE_FILL_WINDOW,
  RESOLUTION_AUTO
} from 'playcanvas';

const canvas = document.createElement('canvas');
document.body.appendChild(canvas);

const app = new Application(canvas);

// fill the available space at full resolution
app.setCanvasFillMode(FILLMODE_FILL_WINDOW);
app.setCanvasResolution(RESOLUTION_AUTO);

// ensure canvas is resized when window changes size
window.addEventListener('resize', () => app.resizeCanvas());

// create box entity
const box = new Entity('cube');
box.addComponent('render', {
  type: 'box'
});
app.root.addChild(box);

// create camera entity
const camera = new Entity('camera');
camera.addComponent('camera', {
  clearColor: new Color(0.1, 0.2, 0.3)
});
app.root.addChild(camera);
camera.setPosition(0, 0, 3);

// create directional light entity
const light = new Entity('light');
light.addComponent('light');
app.root.addChild(light);
light.setEulerAngles(45, 0, 0);

// rotate the box according to the delta time since the last frame
app.on('update', dt => box.rotate(10 * dt, 20 * dt, 30 * dt));

app.start();

Want to play with the code yourself? Edit it on CodePen.

A full guide to setting up a local development environment based on the PlayCanvas Engine can be found here.

Features

PlayCanvas is a fully-featured game engine.

🧊 Graphics - Advanced 2D + 3D graphics engine built on WebGL2 & WebGPU
💠 Gaussian Splatting - First-class support for loading and rendering 3D Gaussian Splats
🥽 XR - Built-in support for immersive AR and VR experiences via WebXR
⚛️ Physics - Full integration with 3D rigid-body physics engine ammo.js
🏃 Animation - Powerful state-based animations for characters and arbitrary scene properties
🎮 Input - Mouse, keyboard, touch and gamepad APIs
🔊 Sound - 3D positional sounds built on the Web Audio API
📦 Assets - Asynchronous streaming system built on glTF 2.0, Draco and Basis compression
📜 Scripts - Write game behaviors in TypeScript or JavaScript

Ecosystem

Build with PlayCanvas your way:

Package	Description
`playcanvas`	Core engine (you are here)
`@playcanvas/react`	React renderer for PlayCanvas
`@playcanvas/web-components`	Declarative 3D via Custom Elements
`create-playcanvas`	Project scaffolding CLI
PlayCanvas Editor	Browser-based visual editor

Project Showcase

Many games and apps have been published using the PlayCanvas engine. Here is a small selection:

You can see more games on the PlayCanvas website.

Users

PlayCanvas is used by leading companies in video games, advertising and visualization such as:
Animech, Arm, BMW, Disney, Facebook, Famobi, Funday Factory, IGT, King, Miniclip, Leapfrog, Mojiworks, Mozilla, Nickelodeon, Nordeus, NOWWA, PikPok, PlaySide Studios, Polaris, Product Madness, Samsung, Snap, Spry Fox, Zeptolab, Zynga

How to build

Ensure you have Node.js 18+ installed. Then, install all of the required Node.js dependencies:

npm install

Now you can run various build options:

Command	Description	Outputs To
`npm run build`	Build all engine flavors and type declarations	`build`
`npm run docs`	Build engine API reference docs	`docs`

marktext/marktext

📝A simple and elegant markdown editor, available for Linux, macOS and Windows.

MarkText

🔆 Next generation markdown editor 🌙
A simple and elegant open-source markdown editor that focused on speed and usability.
_{Available for Linux, macOS and Windows.}

Website | Features | Downloads | Development | Contribution

_{Translations:} 🇸🇦 🇨🇳 🇹🇼 🇵🇱 🇯🇵 🇫🇷 🇹🇷 🇪🇸 🇵🇹 🇰🇷

_{This Markdown editor that could. Built with ❤︎ by Jocs and contributors .}

Supporting MarkText

MarkText is an MIT licensed open source project, and the latest version will always be downloadable for free from the GitHub release page. MarkText is still in development, and its development is inseparable from all sponsors. I hope you join them:

What's the difference between Patreon and Open Collective?

Patreon: Funds will be directly sponsored to Luo Ran (@jocs) who created MarkText and continues to maintain it. Open Collective: All expenses are transparent. The funds will be used for the development and maintenance of MarkText, funding online and offline activities, and acquiring other necessary resources. Names and company logos of all sponsors (from both Patreon and Open Collective) will appear on the official website for MarkText and in its README.md file.

Looking for MarkText-like editing with cloud storage? try Inkio

Platinum Sponsors

Gold Sponsors

Silver Sponsors

Bronze Sponsors

Backers

Screenshot

Features

Realtime preview (WYSIWYG) and a clean and simple interface to get a distraction-free writing experience.
Support CommonMark Spec, GitHub Flavored Markdown Spec and selective support Pandoc markdown.
Markdown extensions such as math expressions (KaTeX), front matter and emojis.
Support paragraphs and inline style shortcuts to improve your writing efficiency.
Output HTML and PDF files.
Various themes: Cadmium Light, Material Dark etc.
Various editing modes: Source Code mode, Typewriter mode, Focus mode.
Paste images directly from clipboard.

🌙themes🔆

Cadmium Light	Dark

Graphite Light	Material Dark

Ulysses Light	One Dark

😸Edit modes🐶

Source Code	Typewriter	Focus

Why make another editor?

I love writing. I have used a lot of markdown editors, yet there is still not an editor that can fully meet my needs. I don't like to be disturbed when I write by some unbearable bug. MarkText uses virtual DOM to render pages which has the added benefits of being highly efficient and being open source. That way anyone who loves markdown and writing can use MarkText.
As mentioned above, MarkText is completely free and open source and will be open source forever. We hope that all markdown lovers will contribute their own code and help develop MarkText into a popular markdown editor.
There are many markdown editors and all have their own merits, some have features which others don't. It's difficult to satisfy each markdown users' needs but we hope MarkText will be able to satisfy each markdown user as much as possible. Although the latest MarkText is still not perfect, we will try to make it as best as we possibly can.

Download and Installation

Want to see new features of the latest version? Please refer to CHANGELOG.

macOS

You can either download the latest marktext-%version%.dmg from the release page or install MarkText using homebrew cask. To use Homebrew-Cask you just need to have Homebrew installed.

brew install --cask mark-text

Windows

Simply download and install MarkText via setup wizard (marktext-setup-%version%.exe) and choose whether to install per-user or machine wide. Alternatively, install MarkText using a package manager such as Chocolatey or Winget.

To use Chocolatey, you need to have Chocolatey installed:

choco install marktext

To use Winget, you need to have Winget installed:

winget install marktext

Linux

Please follow the Linux installation instructions.

Other

All binaries for Linux, macOS and Windows can be downloaded from the release page. If a version is unavailable for your system, then please open an issue.

Development

If you wish to build MarkText yourself, please check out our build instructions.

If you have any questions regarding MarkText, you are welcome to write an issue. When doing so please use the default format found when opening an issue. Of course, if you submit a PR directly, it will be greatly appreciated.

Integrations

Alfred Workflow: A Workflow for the macOS app Alfred: Use "mt" to open files/folder with MarkText.

Contribution

MarkText is in development, please make sure to read the Contributing Guide before making a pull request. Want to add some features to MarkText? Refer to our roadmap and open issues.

Contributors

Thank you to all the people who have already contributed to MarkText[contributors].

Special thanks to @Yasujizr who designed the MarkText logo.

License

MIT.