MemPalace / mempalace
The best-benchmarked open-source AI memory system. And it's free.
Why this job: says: memory system; topics: memory
What it does
Local-first AI memory. Verbatim storage, pluggable backend, 96.6% R@5 raw on LongMemEval — zero API calls.
Get started
npx skills add MemPalace/mempalace You need: Python 3.10+; A vector-store backend (ChromaDB by default); ~300 MB disk for the embedding model. Pick it with mempalace init --embedding-model: embeddinggemma (embeddinggemma-300m, multilingual, 100+ languages, recommended) or minilm (all-MiniLM-L6-v2, English-only, ~30 MB). See the docstring at me
- Maintenance
- Active
- Last commit today
- Stars
- 60,478
- +114 this week
- Licence
- MIT
- Allows business use
- Downloads for
- 3 systems
- Mac, Windows, Linux
- Latest version
- v3.11.0
- Released 26 days ago
- Built with
- Python
- 95% of the code
Is it looked after?
- Contributors
- 23
- Last 90 days
- Issues
- 62% closed
- 364 still open
- Pull requests
- 970 merged
- 439 waiting
- Releases
- 19
- 19 in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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More: download files, languages, topics and project record
Download files, v3.11.0
- Mac3 files, 323 downloads
- Windows1 file, 190 downloads
- Linux3 files, 355 downloads
Languages
- Python 95%
- Shell 1%
- JavaScript 1%
- HTML 1%
Topics
- ai
- chromadb
- llm
- mcp
- memory
- python
Project record
- JobAgent memory
- StatusFeatured
- Commits2,603
- Forks7,662
- Watching310
- Stars in 28 days+441
- CreatedApr 5, 2026
- First seen by usNov 7, 2026
- CheckedNov 9, 2026