- Who it helps
- Developers evaluating shared context across coding tools.
- Availability
- The public repository documents a Git-backed Markdown store, derived indexes and capture hooks. Setup remains untested here.
How it works
The readable files provide a place to inspect and correct memory. The README distinguishes authenticated native initialization from a Docker quick start that needs authentication configured.
What to check for your task
Try a fictional project decision, locate its stored note, correct it and check whether a later session retrieves the correction. Record missing or stale answers.
What you can do
- Try a fictional project decision, locate its stored note, correct it and check whether a later session retrieves the correction. Record missing or stale answers. Open reference ↗
Where the evidence stops
Automatic integration can change tool configuration. Data capture and restoration were not tested; review the files and permissions before using private projects.
Sources read. Public sources read October 18, 2026. Product setup, inference and end-to-end behavior were not executed.
Sources & further reading
GitHub · implementation
ai-memory README ↗
Read storage design, capture integration and authentication behavior. No hooks were installed or memory server started.
akitaonrails · page checked 2026-10-18
Coverage note: This bounded review lacks a complete cross-platform discussion sample. X search required sign-in; independent execution evidence remains unavailable.
The record over time (2)
Dated source checks and published explanations. An observation date can differ from the original release date.
ai-memory stores project notes and handoffs so a later coding session can find the decisions behind earlier work.
ai-memory is a public project for carrying project knowledge and handoffs between coding-agent tools. Its README describes a git-backed Markdown store and capture hooks. The repository was read October 18; configuration, privacy boundaries and handoff reliability were not tested. It remains a research lead for developers evaluating cross-session memory.