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DeltaMemory: A Persistent Memory Layer for AI Agents That Learns Over Time

By

Shreejit Sen

3mo ago· 1 min readenProduct

Summary

DeltaMemory is a new AI memory layer designed to solve the problem of AI agents forgetting information between sessions. Unlike vector databases or RAG systems, it extracts facts, builds knowledge graphs, and learns over time. The product is built in Rust, claims to be #1 on LoCoMo, 2x faster than alternatives like Mem0, and 97% cheaper at scale.

Key quotes

· 3 pulled
AI agents are getting smarter, but they still forget everything between sessions.
Not a vector DB, not RAG, a real memory layer that extracts facts, builds a knowledge graph, and actually learns over time.
Rust native. #1 on LoCoMo. 2x faster than Mem0 and other alternatives. 97% cheaper at scale.
Snippet from the RSS feed
AI agents are getting smarter, but they still forget everything between sessions. We built DeltaMemory because we kept hitting that wall. Not a vector DB, not RAG, a real memory layer that extracts facts, builds a knowledge graph, and actually learns over

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