head to head · open source
llama_index vs Compartment
llama_index has 52,206 GitHub stars, 8,165 forks, 770 open issues and last shipped yesterday. Compartment has 581 stars, 4 forks, 1 open issues and last shipped 2 days ago. llama_index leads on adoption by 8,886% (52,206 vs 581 stars). llama_index is written in Python under MIT; Compartment is written in Python under Apache-2.0. llama_index has attracted 16% as many forks as stars, Compartment 1%. llama_index was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (vector-database), 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
| llama_index | Compartment | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 581 |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-18 | 2026-09-17 |
| Forks | ⑂ 8.2K | ⑂ 4 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 52K stars and counting
- You want the MIT 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 llama_index
LlamaIndex is an MIT licensed, open source Python framework for building agentic applications — retrieval augmented generation systems, agents and multi agent workflows — on top of private documents and data, and it is aimed at AI engineers and teams who need to connect large language models to their own sources of context.
read the full llama_index overview →
About Compartment
Compartment is an Apache 2.0 Python MCP server that gives AI agents encrypted, fully offline long term memory in a single vault on the user's own computer, built for people running Claude Code, Claude Desktop, Cursor, Codex, Hermes Agent, OpenClaw or any other MCP client who want persistent memory with no account, no API key, no network and no telemetry.
read the full Compartment overview →
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Frequently asked questions
Is llama_index or Compartment more popular?
llama_index has 52,206 GitHub stars and Compartment has 581. llama_index has the larger community by that measure.
Are llama_index and Compartment free?
Both are open source. llama_index is licensed under MIT and Compartment under Apache-2.0. Neither carries a licence fee.
What is the difference between llama_index and Compartment?
llama_index 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, llama_index or Compartment?
Choose llama_index if you want the larger community (52,206 stars) or its MIT licence terms. Choose Compartment if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.