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Head to head

Agent Recall vs Mem Context

Same numbers we show everywhere else, lined up. Ratings come from users, the grade comes from our scanner, adoption comes from public registries.

Agent Recallio.github.Goldentrii/agent-recall
A
No reviews yet

Correction-first agent memory. Precision KPI tracks if agents heed warnings. 5 layers, local-only.

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Mem Contextio.github.turbyho/mem-context
C
No reviews yet

Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation

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The short version

Neither has been reviewed yet, so the comparison rests on the scan and the public usage numbers. The safety scan favours Agent Recall (92/100 against 65). Agent Recall has noticeably more public adoption.

 Agent RecallMem Context
User ratingNo reviews yetNo reviews yet
Safety gradeA92/100C65/100
AdoptionEstablished—
GitHub stars371–
Downloads / week399–
Runs whereYour machine (local)Your machine (local)
Gateway-readyNoNo
Tools4710
Write actions52
Price per callFreeFree
LicenceMITMIT
Last release2026-09-21—
CategoryAI and agentsAI and agents

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