mempalace
What it does
An editorial selection.
Local-first AI memory with verbatim storage and pluggable backends. The README reports 96.6% R@5 on LongMemEval with zero API calls.
Why it is listed
Long-term memory for agents and chat sessions with no cloud dependency. The project warns about impostor sites, so install only from GitHub or PyPI.
GitHub describes it as: The best-benchmarked open-source AI memory system. And it's free.
Counts were observed on 27/10/2026, 23:15:40 UTC. Observations older than 36 hours are excluded from current movement rankings.
Repository at a glance
- Stars
- 59,758
- Forks
- 7,588
- Open issues
- 384
- Merged PRs
- 908
- Commits, last 30 days
- 448
- Stars, 7 days
- unavailable
- Stars, 30 days
- unavailable
Counts observed on 27/10/2026, 23:15:40 UTC. Growth uses complete dated windows; see Methodology.
History
Project details
Explore and get started
Use the project's own documentation for supported platforms, dependencies and installation steps. The README and release notes are maintained by MemPalace.
- Read the README and setup instructionsFeatures, prerequisites, examples and documentation links.
- Browse releases and changelogsPublished versions and the changes made between releases.
- Check licence and usage termsMIT is the licence reported by GitHub; read the repository terms before use.
- Read pull requestsProposed changes and development discussions.
- Browse reported issuesKnown problems, feature requests and maintainer responses.
Development context
These are observations of work in the repository. They do not establish quality, security or support commitments.
- Total commits on default branch
- 2,498
- Open pull requests
- 472
- Closed issues, lifetime
- 554
- Median time to close an issue
- 6.1 days
- Median time to merge a pull request
- 0.0 days
Close and merge times use up to 20 most recently updated closed issues or merged pull requests. They omit unresolved work and are context, not a maintenance score. Sample limits.
Explore the same category
Other projects in Context, Memory & Cost, ordered by shared topics and then name. These are discovery links, not equivalence claims.
- headroomlabs-ai/headroom
Compression layer for everything an agent reads: tool outputs, logs, RAG chunks, files and history. Runs locally as a library or a proxy.
- MemTensor/MemT-1.0
Official repository for MemT-1.0
- jonaslsaa/pi-optchat
Persistent infinite memory with profiles, background agents, and conversation imports for Pi.
- rtk-ai/rtk
Single Rust binary that intercepts shell commands and compresses their output before it reaches the LLM. Supports 100+ commands.
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