head to head · open source
txtai vs Compartment
txtai has 13,064 GitHub stars, 962 forks, 9 open issues and last shipped yesterday. Compartment has 580 stars, 8 forks, 1 open issues and last shipped 16 days ago. txtai leads on adoption by 2,152% (13,064 vs 580 stars). txtai is written in Python under Apache-2.0; Compartment is written in Python under Apache-2.0. txtai has attracted 7% as many forks as stars, Compartment 1%. txtai was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), 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
| txtai | Compartment | |
|---|---|---|
| GitHub stars | ★ 13K | ★ 580 |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-10-20 |
| Forks | ⑂ 962 | ⑂ 8 |
| 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 Compartment if
- You want the Compartment feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and Compartment 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 Compartment
Compartment Encrypted, fully offline memory for AI agents. One vault on your own computer, read and written by Claude Code, Claude Desktop, Hermes Agent, OpenClaw, Cursor, Codex and any other MCP client. No API key, no account, no network, no telemetry. One click install (after pip install compartment && compartment init ): Claude Code, Claude Desktop, Hermes Agent and OpenClaw are wired by one command instead: compartment integrate claude , hermes or openclaw . Compartment is persistent memory for AI agents, stored on your own computer. What an agent learns in one session is available in every later session, in…
read the full Compartment overview →
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Frequently asked questions
Is txtai or Compartment more popular?
txtai has 13,064 GitHub stars and Compartment has 580. txtai has the larger community by that measure.
Are txtai and Compartment free?
Both are open source. txtai is licensed under Apache-2.0 and Compartment under Apache-2.0. Neither carries a licence fee.
What is the difference between txtai and Compartment?
txtai is written in Python and Compartment in Python. 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 Compartment?
Choose txtai if you want the larger community (13,064 stars) or its Apache-2.0 licence terms. Choose Compartment if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.