head to head · open source
txtai vs claude-context
txtai has 12,964 GitHub stars, 891 forks, 9 open issues and last shipped 5 days ago. claude-context has 12,548 stars, 926 forks, 146 open issues and last shipped 2 months ago. txtai leads on adoption by 3% (12,964 vs 12,548 stars). txtai is written in Python under Apache-2.0; claude-context is written in TypeScript under MIT. txtai has attracted 7% as many forks as stars, claude-context 7%. txtai 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
| txtai | claude-context | |
|---|---|---|
| GitHub stars | ★ 13K | ★ 13K |
| License | Apache-2.0 | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-09-15 | 2026-07-14 |
| Forks | ⑂ 891 | ⑂ 926 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick txtai if
- You weight community size — 13K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- 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 txtai
txtai is an all in one AI framework for semantic search, LLM orchestration and language model workflows, written in Python and released under the Apache 2.0 license. It lives in the Python machine learning ecosystem and is built on Hugging Face Transformers, Sentence Transformers and FastAPI. The core component is an embeddings database, which is a union of vector indexes (both sparse and dense), graph networks and relational databases. That foundation enables vector search and also serves as a knowledge source for large language model applications.
read the full txtai 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 txtai or claude-context more popular?
txtai has 12,964 GitHub stars and claude-context has 12,548. txtai has the larger community by that measure.
Are txtai and claude-context free?
Both are open source. txtai is licensed under Apache-2.0 and claude-context under MIT. Neither carries a licence fee.
What is the difference between txtai and claude-context?
txtai is written in Python 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, txtai or claude-context?
Choose txtai if you want the larger community (12,964 stars) or its Apache-2.0 licence terms. Choose claude-context if its feature set, stack or MIT licence fits better. Both are self-hostable.