Open source
ai-memory
Source: akitaonrails/ai-memory · ★ 3019 · Rust
Last updated 2026-08-19 · benchmark measured 2026-08-19 — deterministic & reproducible
Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors
Is ai-memory production-ready?
Legit.Show scores ai-memory 67 out of 100 — the simple average of its 3 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on ai-memory (github assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Security; its weakest is Discoverability. 3 of the seven frames returned a score; Performance, Accessibility, Privacy and Reliability were not measurable on this service and are recorded as null — not as zero. Maintenance is an additional frame from the open-source teardown, scored separately from the seven. Every frame it averages is published with its evidence on the Legit.Show listing.
The 7 Frames
- Performance — not measurable on this service (null — not scored as 0)
- Accessibility — not measurable on this service (null — not scored as 0)
- Security — 90/100
- Privacy — not measurable on this service (null — not scored as 0)
- Reliability — not measurable on this service (null — not scored as 0)
- Standards — 75/100
- Discoverability — 35/100
Open-source teardown
Scored separately — not one of the seven.
- Maintenance — 100/100
What we measured
- No Content-Security-Policy and no HSTS.
- No privacy policy found.
- Sets cookies / loads scripts with no consent prompt.
Who built it
Fabio Akita (@AkitaOnRails)