Re:Remembra – Open-source semantic memory for AI agents
by shandan on Wednesday March 11, 2026 @09:10AM
(#47335121)
Most memory layers are just fancy key-value stores with a vector search slapped on. The graph-aware recall is what makes this actually interesting.
Self-host in minutes is doing a lot of heavy lifting in this space right now. Data residency is a dealbreaker for more teams than people admit.
Bookmarked. Will be testing this against our current setup this week.
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Re:Remembra – Open-source semantic memory for AI agents
by remembradev on Wednesday March 11, 2026 @09:13AM
(#47335143)
Thanks! You've hit on exactly why we built this.
The graph-aware approach lets us do things vector search alone can't - like "find all memories about Project X that involve Person Y" without needing exact keyword matches. Entity relationships are first-class citizens.
On data residency: 100% agree it's underestimated. We've seen teams pass on otherwise-great tools because they can't guarantee where memories live. Single Docker container, SQLite by default, your infrastructure = your data.
Would love to hear how it compares to your current setup. Drop any feedback in our Discord or GitHub issues - we're actively iterating.