head to head · open source
Langfuse vs claude-context
Langfuse has 34,826 GitHub stars, 3,815 forks, 926 open issues and last shipped yesterday. claude-context has 12,548 stars, 926 forks, 146 open issues and last shipped 2 months ago. Langfuse leads on adoption by 178% (34,826 vs 12,548 stars). Langfuse is written in TypeScript under a custom or non-standard licence; claude-context is written in TypeScript under MIT. Langfuse has attracted 11% as many forks as stars, claude-context 7%. Langfuse was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| Langfuse | claude-context | |
|---|---|---|
| GitHub stars | ★ 35K | ★ 13K |
| License | Custom / other | MIT |
| Written in | TypeScript | TypeScript |
| Last push | 2026-09-19 | 2026-07-14 |
| Forks | ⑂ 3.8K | ⑂ 926 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Langfuse if
- You weight community size — 35K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick claude-context if
- You want the claude-context feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and claude-context fits your workflow better
About Langfuse
Langfuse is an open source LLM engineering platform for building, monitoring, and improving AI powered applications. It lives in the LLMops ecosystem and provides tooling for the full development lifecycle—from prompt iteration and evaluation to observability and dataset management. Built with TypeScript and powered by ClickHouse, it enables teams to track LLM calls, user sessions, and internal logic like retrieval or agent actions in a unified interface.
read the full Langfuse overview →
About claude-context
Claude Context is an open source Model Context Protocol (MCP) plugin that adds semantic code search to Claude Code and other AI coding agents. It is written in TypeScript, licensed under MIT, and published to npm as @zilliz/claude context core and @zilliz/claude context mcp . The project lives in the AI coding agent ecosystem, where it plugs into MCP compatible clients such as Claude Code, OpenAI Codex CLI, Cursor, and Gemini CLI. A companion VS Code extension is distributed through the Visual Studio Marketplace as zilliz.semanticcodesearch .
read the full claude-context overview →
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Frequently asked questions
Is Langfuse or claude-context more popular?
Langfuse has 34,826 GitHub stars and claude-context has 12,548. Langfuse has the larger community by that measure.
Are Langfuse and claude-context free?
Both are open source. Langfuse has no licence declared in this registry, and claude-context is licensed under MIT. Both are free to self-host.
What is the difference between Langfuse and claude-context?
Langfuse is written in TypeScript and claude-context 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, Langfuse or claude-context?
Choose Langfuse if you want the larger community (34,826 stars) or its Custom / other licence terms. Choose claude-context if its feature set, stack or MIT licence fits better. Both are self-hostable.