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.
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.
DISCOVERED
80d ago
2026-03-21
PUBLISHED
80d ago
2026-03-21
RELEVANCE
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