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Foundation for Solo mode's project-aware welcome — when the user toggles Solo on without a concrete task, we want to greet them with ranked guesses of what they might want to do next instead of an empty prompt. This PR lands the brain (zero-token, zero I/O, fully deterministic) so the eventual wiring layer (waiting on the in-flight coordinator-mode optimization) can drop straight on top. Engine takes the existing zero-cost project snapshot (RecentActivityResult) plus an optional Tier-1 enrichment bag (stash count, test-gap detection, TODO grep against dirtyFiles, version-vs-notes mismatch, mid-flight git state) and emits up to 5 ranked SoloSuggestions. Each carries an i18n key and an entryStage hint so the consumer can route the user past stages that don't apply (e.g. 'review' for already-shipped commits, 'land' for release prep). Design constraints baked in: - Pure function. No git spawning, no LLM, no I/O. Tier-1 signals are passed in by the host who decides which to gather. - Deterministic. (activity, tier1, now) -> stable output. Tests rely on this for stable assertions. - Bounded. Final list capped at 5; per-category dedup keeps the highest- scoring entry per category. - Locale-neutral. Returns translation keys + interpolation params, not rendered strings — desktop translates with the active locale. Score table chosen with deliberate headroom for boosters (recency 0-15, sample 0-10, file-specific 0-10) so the priority order survives any boost combination: resolve-conflict 100 > test-gap 55 > ship 35 > finish-wip 30 > release 28 > cleanup 20 > generic 0. Foreign-dirty-file detection: when most dirtyFiles look unrelated to the previous session's edited-files sample (e.g. another agent's parked work in the same worktree — exactly the situation we're in right now while the coordinator-mode AI works), the finish-wip suggestion downscores by 15 and switches to a copy that hints at foreign authorship. Coupling boundary: imports from projectActivityService only. No chat / WS / coordinator surfaces, so the upcoming Solo wiring can sit on top without circular deps. Tested: 23 / 23 unit tests covering each rule, dedup, capping, scoring, determinism, recency boost, code-source detection, foreign-dirty downscore. Confidence: high. Scope-risk: narrow (additive, isolated module, zero code paths touched outside the new files). Co-authored-by: 你的姓名 <you@example.com>
Claude Code Haha
A Claude Code build repaired from the source leaked from Anthropic's npm registry on 2026-03-31. Claude Code Haha is now primarily a desktop Claude Code workspace for macOS, Windows, and Linux: sessions, projects, branch / Worktree launch, right-side file changes, code diffs, permission review, provider setup, Computer Use, H5 remote access, IM integration, and scheduled tasks in one app.
Desktop Preview · Install · Highlights · Sponsorship · More Docs
Desktop Preview
The Claude Code Haha desktop app brings sessions, multi-project navigation, branch / Worktree controls, right-side file changes, code diffs, permission review, provider setup, and remote access into one graphical workspace for daily development flows beyond the terminal.
 Desktop Workspace |
 Right-side Changes & Worktree |
 Code Editing & Diff View |
 Permission Review & AI Questions |
 H5 Remote Access |
 Token Usage |
 Computer Use |
 Scheduled Tasks |
Install the Desktop App
- Download the macOS / Windows / Linux desktop installer from Releases.
- On first launch, configure your model provider, API key, and default model in Settings.
- This build is currently unsigned, so the first launch needs a one-time manual approval (clear quarantine on macOS, click "Run anyway" on Windows). See the desktop installation guide.
Run the CLI from Source
For users who want to debug the underlying CLI, server, or local development flow:
bun install
cp .env.example .env
./bin/claude-haha
See environment variables and global usage for more configuration options.
Desktop Highlights
- Multi-session workspace: tabs, project switching, terminal entry, and session history in one place.
- Branch / Worktree launch: choose a repository branch and decide whether to use the current working tree or an isolated Worktree.
- Right-side file changes: review changed files, added/removed lines, and current workspace state while chatting.
- Visual code changes: inspect edits, file writes, and diffs directly in the desktop app.
- Permission review: approve risky commands, tool calls, and model follow-up questions in the GUI.
- Multi-provider setup: configure Anthropic-compatible APIs, third-party models, WebSearch fallback, and local options.
- Computer Use: let the agent take screenshots, click, type, and control desktop apps after authorization.
- H5 remote access: open the current desktop session from a phone or another device with a one-time token.
- IM integration: chat, switch projects, and approve actions through Telegram / Feishu / WeChat / DingTalk.
- Scheduled tasks and usage stats: create planned tasks and track local token usage trends.
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 |
| IM Integration | Remote chat, project switching, and permission approval via Telegram / Feishu / WeChat / DingTalk |
| Computer Use | Desktop control (screenshots, mouse, keyboard) — Architecture |
| Desktop App | Electron + 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 |
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
Tech Stack
| Category | Technology |
|---|---|
| Language | TypeScript |
| Desktop app | Electron |
| Desktop UI | React + Vite |
| Local runtime | Bun |
| Terminal UI | React + Ink |
| CLI parsing | Commander.js |
| API | Anthropic SDK |
| Protocols | MCP, LSP |
Thanks
Thanks to the following open-source projects and community practices for reference and inspiration:
- React: frontend engineering and component-based UI ecosystem.
- Electron: 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.