head to head · open source
langchain vs cc-haha
langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. cc-haha has 15,271 stars, 8,604 forks, 189 open issues and last shipped yesterday. langchain leads on adoption by 875% (148,892 vs 15,271 stars). langchain is written in Python under MIT; cc-haha is written in TypeScript under a custom or non-standard licence. langchain has attracted 17% as many forks as stars, cc-haha 56%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, anthropic), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| langchain | cc-haha | |
|---|---|---|
| GitHub stars | ★ 149K | ★ 15K |
| License | MIT | Custom / other |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 25K | ⑂ 8.6K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick langchain if
- You weight community size — 149K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick cc-haha if
- You want the cc-haha feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches TypeScript
- You evaluated both and cc-haha fits your workflow better
About langchain
The agent engineering platform. LangChain is a framework for building agents and LLM powered applications. It helps you chain together interoperable components and third party integrations to simplify AI application development — all while future proofing decisions as the underlying technology evolves. [!TIP] Just getting started? Check out Deep Agents — a higher level package built on LangChain for agents that have built in capabilities for common usage patterns such as planning, subagents, file system usage, and more. Quickstart If you're looking for more advanced customization or agent orchestration, check…
read the full langchain overview →
About cc-haha
Claude Code Haha 简体中文 · English Claude Code Haha is a desktop Claude Code workspace for macOS, Windows, and Linux: multi session workspaces, global search, branch / Worktree launch, diff review, built in browser preview, GUI permission approval, any model — Claude, ChatGPT, Grok, presets, or local endpoints — image generation, visual MCP & SubAgent managers, an Agent Teams workbench, dynamic Workflow orchestration, model trace, Computer Use, skill marketplace, colour themes, desktop pets, H5 remote access, IM integration, and scheduled tasks, all in one app. Desktop Preview · Install · Highlights · More Docs ·…
read the full cc-haha overview →
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Frequently asked questions
Is langchain or cc-haha more popular?
langchain has 148,892 GitHub stars and cc-haha has 15,271. langchain has the larger community by that measure.
Are langchain and cc-haha free?
Both are open source. langchain is licensed under MIT, and cc-haha has no licence declared in this registry. Both are free to self-host.
What is the difference between langchain and cc-haha?
langchain is written in Python and cc-haha in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, langchain or cc-haha?
Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose cc-haha if its feature set, stack or Custom / other licence fits better. Both are self-hostable.