AI & Agents

Typed agent memory with corrections and history

Source: Polign/recall

Last updated 2026-09-14 · benchmark measured 2026-09-14 — deterministic & reproducible

Typed agent memory library with correction tracking and history for Python.

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To cite this score: legit.show/s/gh-polign-recall/2026-09-14. That address never changes; this page moves with every re-measure.

Legit.Show scored Typed agent memory with corrections and history 89/100 on 2026-09-14, measured across 4 of 7 frames from its public surface. legit.show/s/gh-polign-recall/2026-09-14

Is Typed agent memory with corrections and history production-ready?

Legit.Show scores Typed agent memory with corrections and history 85 out of 100 — the simple average of its 3 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on Typed agent memory with corrections and history (github assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Standards; 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
  How this compares across the catalogue: The Web Security Baseline
• Privacy — not measurable on this service (null — not scored as 0)
• Reliability — not measurable on this service (null — not scored as 0)
• Standards — 100/100
• Discoverability — 65/100

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 it's for

AI agent developers · Backend engineers · Python developers · Go developers

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