6d9aa98022
DingTalk uses QR registration to store client credentials, then reuses the existing IM pairing and session bridge. The merged main implementation keeps the existing WeChat QR binding path intact while adding DingTalk as a peer IM platform. The default IM workdir now falls back to the local user working directory so a newly bound chat can start immediately even when recent-project history is empty. Constraint: Local main already carries WeChat IM, so the merge keeps WeChat config, QR binding, sidecar args, and unbind behavior intact while adding DingTalk. Rejected: Keep empty defaultProjectDir as project-picker-only | newly bound IM users can hit a dead end with no recent projects. Confidence: high Scope-risk: moderate Directive: Keep IM platform unions synchronized across config, pairing, sidecar args, desktop settings, and docs. Tested: bun test common/ dingtalk/ wechat/; bun test src/server/__tests__/adapters.test.ts; cd adapters && bunx tsc --noEmit; bun run check:policy; bun run check:server; bun run check:desktop; bun run check:adapters; bun run check:native; bun run check:docs Not-tested: quality:pr full gate was blocked by existing local main CLI-core diff requiring allow-cli-core-change maintainer approval; live post-fix DingTalk second-message delivery was not repeated after the merge.
Claude Code Haha
A locally runnable version repaired from the leaked Claude Code source, with support for any Anthropic-compatible API endpoint (MiniMax, OpenRouter, etc.). Beyond the full TUI, we've also completed Computer Use (macOS / Windows), built a GUI desktop app, and enabled full remote control via Telegram / Feishu.
Desktop · Features · Architecture · Quick Start · Env Vars · FAQ · Global Usage · More Docs
Desktop Preview
The Claude Code Haha desktop app brings sessions, multi-project navigation, code diffs, permission review, provider setup, scheduled tasks, and IM adapters into one graphical workspace for daily development flows beyond the terminal.
 Main Interface |
 Code Editing & Diff View |
 Permission Control & AI Questions |
 Multi-Provider Management |
 Scheduled Tasks |
 IM Adapters (Telegram / Feishu) |
Features
- Full Ink TUI experience (matching the official Claude Code interface)
--printheadless mode for scripts and CI- MCP server, plugin, and Skills support
- Custom API endpoint and model support (Third-Party Models Guide)
- Memory System (cross-session persistent memory) — Usage Guide
- Multi-Agent System (agent orchestration, parallel tasks, Teams collaboration) — Usage Guide | Implementation
- Skills System (extensible capability plugins, custom workflows) — Usage Guide | Implementation
- Channel System (remote Agent control via Telegram/Feishu/Discord IM platforms) — Architecture
- Computer Use desktop control — Guide | Architecture
- Desktop App (Tauri 2 + React GUI client, multi-tab multi-session) — Docs
- Fallback Recovery CLI mode (
CLAUDE_CODE_FORCE_RECOVERY_CLI=1 ./bin/claude-haha)
Architecture Overview
 Overall architecture |
 Request lifecycle |
 Tool system |
 Multi-agent architecture |
 Terminal UI |
 Permissions and security |
 Services layer |
 State and data flow |
Quick Start
1. Install Bun
# macOS / Linux
curl -fsSL https://bun.sh/install | bash
# macOS (Homebrew)
brew install bun
# Windows (PowerShell)
powershell -c "irm bun.sh/install.ps1 | iex"
On minimal Linux images, if you see
unzip is required, runapt update && apt install -y unzipfirst.
2. Install Dependencies and Configure
bun install
cp .env.example .env
# Edit .env with your API key — see docs/en/guide/env-vars.md for details
3. Start
macOS / Linux
./bin/claude-haha # Interactive TUI mode
./bin/claude-haha -p "your prompt here" # Headless mode
./bin/claude-haha --help # Show all options
Windows
Prerequisite: Git for Windows must be installed.
# PowerShell / cmd — call Bun directly
bun --env-file=.env ./src/entrypoints/cli.tsx
# Or run inside Git Bash
./bin/claude-haha
4. Global Usage (Optional)
Add bin/ to your PATH to run from any directory. See Global Usage Guide:
export PATH="$HOME/path/to/claude-code-haha/bin:$PATH"
5. Desktop Development
If you are developing or testing the desktop/ frontend, start both the API server and the desktop frontend.
5.1 Start the API server
cd /Users/nanmi/workspace/myself_code/claude-code-haha
SERVER_PORT=3456 bun run src/server/index.ts
Optional health check:
curl http://127.0.0.1:3456/health
5.2 Start the desktop frontend
cd /Users/nanmi/workspace/myself_code/claude-code-haha/desktop
bun run dev --host 127.0.0.1 --port 2024
Then open:
http://127.0.0.1:2024
5.3 Notes
- If port
3456is already occupied by an old server process, runlsof -nP -iTCP:3456 -sTCP:LISTEN, find the PID, thenkill <PID>. - For chat testing, create a fresh session and re-select a real working directory.
- If an old session points to a deleted directory, the server will return
Working directory does not exist. That is separate from whether the API server is running.
Sponsorship & Partnership
This project is maintained in the author's spare time. Corporate or individual sponsorships are welcome to support ongoing development. Custom features, integrations, and business partnerships are also open for discussion.
| Sponsor | Description |
|---|---|
 接口AI |
Thanks to JieKou AI for sponsoring this project. JieKou AI provides official model resources with stable, high-performance API access. Subscription bundles are priced at 20% off the official rate; new users who register through this link and bind GitHub can claim a $3 coupon. |
|
Thanks to ShengSuanYun for sponsoring this project. ShengSuanYun is an industrial-grade AI task parallel execution platform for AI Native Teams, aggregating Claude, ChatGPT, Gemini, and other LLM, image, and video model capacity through direct, non-reverse-engineered access. Its platform SLA reaches 99.7%, with service status available online. It also supports dedicated enterprise gateways, cost and permission controls, smart routing, security protection, BYOK, usage-based billing, upcoming tokens plans, and invoicing. New users registering through this link can receive 10 yuan in model credits plus a 10% first top-up bonus. |
📧 Contact: relakkes@gmail.com
☕ Buy Me a Coffee
If this project helps you, consider buying me a coffee — every bit of support keeps this project going ❤️
 WeChat Pay |
 Alipay |
Buy Me a Coffee |
Tech Stack
| Category | Technology |
|---|---|
| Runtime | Bun |
| Language | TypeScript |
| Terminal UI | React + Ink |
| CLI parsing | Commander.js |
| API | Anthropic SDK |
| Protocols | MCP, LSP |
More Documentation
| Document | Description |
|---|---|
| Environment Variables | Full env var reference and configuration methods |
| Third-Party Models | Using OpenAI / DeepSeek / Ollama and other non-Anthropic models |
| Contributing | Local tests, live model baselines, PR gates, and release gates |
| Memory System | Cross-session persistent memory usage and implementation |
| Multi-Agent System | Agent orchestration, parallel tasks and Teams collaboration |
| Skills System | Extensible capability plugins, custom workflows and conditional activation |
| Channel System | Remote Agent control via Telegram/Feishu/Discord IM platforms |
| Computer Use | Desktop control (screenshots, mouse, keyboard) — Architecture |
| Desktop App | Tauri 2 + React GUI client — Quick Start | Architecture | Installation |
| Global Usage | Run claude-haha from any directory |
| FAQ | Common error troubleshooting |
| Source Fixes | Fixes compared with the original leaked source |
| Project Structure | Code directory structure |
Thanks
Thanks to the following open-source projects and community practices for reference and inspiration:
- React: frontend engineering and component-based UI ecosystem.
- Tauri: cross-platform desktop app capabilities and engineering practices.
- cc-switch: reference for model provider configuration.
⭐ Star History
If this project helps you, please support it with a ⭐ Star so more people can discover Claude Code Haha.
Disclaimer
This repository is based on the Claude Code source leaked from the Anthropic npm registry on 2026-03-31. All original source code copyrights belong to Anthropic. It is provided for learning and research purposes only.