head to head · open source
txtai vs claude-context
txtai has 13,062 GitHub stars, 962 forks, 9 open issues and last shipped 2 days ago. claude-context has 12,667 stars, 939 forks, 146 open issues and last shipped 4 months ago. txtai leads on adoption by 3% (13,062 vs 12,667 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 | 2026-11-03 | 2026-07-14 |
| Forks | ⑂ 962 | ⑂ 939 |
| 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
All in one AI framework txtai is an all in one AI framework for semantic search, LLM orchestration and language model workflows. The key component of txtai is an embeddings database, which is a union of vector indexes (sparse and dense), graph networks and relational databases. This foundation enables vector search and/or serves as a powerful knowledge source for large language model (LLM) applications. Build autonomous agents, retrieval augmented generation (RAG) processes, multi model workflows and more. Summary of txtai features: 🔎 Vector search with SQL, object storage, topic modeling, graph analysis and…
read the full txtai overview →
About claude-context
🆕 Looking for persistent memory for Claude Code? Check out memsearch Claude Code plugin — a markdown first memory system that gives your AI agent long term memory across sessions. Your entire codebase as Claude's context Claude Context is an MCP plugin that adds semantic code search to Claude Code and other AI coding agents, giving them deep context from your entire codebase. 🧠 Your Entire Codebase as Context : Claude Context uses semantic search to find all relevant code from millions of lines. No multi round discovery needed. It brings results straight into the Claude's context. 💰 Cost Effective for Large…
read the full claude-context overview →
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Frequently asked questions
Is txtai or claude-context more popular?
txtai has 13,062 GitHub stars and claude-context has 12,667. 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 (13,062 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.