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Mem9 adds long-term memory for agents

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Mem9 adds long-term memory for agents
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// 80d agoOPENSOURCE RELEASE

Mem9 adds long-term memory for agents

Mem9 is a plug-and-play memory engine for AI agents that stores and retrieves durable context across sessions. It keeps user preferences, prior work, and project history available through an open-source, self-hostable stack.

// ANALYSIS

This is the kind of infrastructure layer agent builders keep reinventing badly, so a dedicated memory service feels overdue. If Mem9 holds up in real workflows, it could turn “remembering” from a brittle app feature into shared agent plumbing.

  • Hybrid keyword plus vector search is the right default for memory: fast recall without forcing teams into a pure embedding workflow.
  • Shared tenant memory means multiple agents can benefit from the same learned context instead of each hoarding its own local notes.
  • Apache-2.0 and self-hosting lower the trust barrier for teams handling sensitive project history or customer context.
  • The real win is not chat memory; it is consistent agent behavior across machines, sessions, and tools.
// TAGS
mem9agentopen-sourceself-hostedapisearch

DISCOVERED

80d ago

2026-03-21

PUBLISHED

80d ago

2026-03-21

RELEVANCE

8/ 10

AUTHOR

Github Awesome