akitaonrails/ai-memory
Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors
About the project
Long-term memory server for AI coding agents: stores notes as a markdown wiki and hands off context between different agents and machines. Lets you resume a task in another CLI without re-explaining architecture or open questions.
Useful for
- Hand off an unfinished task from Claude Code to Codex in the same directory
- Run a shared memory server so a team shares per-project knowledge
- Browse and edit accumulated memory as plain git-backed markdown files
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 39 stars today.
- Interest is fading: the two-day pace is 46% of the previous week and a half.
- GitHub Trending this month: #13, +5,201 stars.
- Top new repositories in the last 4 months: #70.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 6,685
- Stars in a day
- 39
- Forks
- 453
- Issues and pull requests
- 724
- Watchers
- 43
- Language
- Rust
- License
- MIT
- Latest release
- v2.2.1 · September 12, 2026
- Created
- May 21, 2026
- Last push
- September 12, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 13, 2026GitHub Trending this month: #13, +5,201 stars; Top new repositories in the last 4 months: #70
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