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TypedMemory – long-term memory and reflection for AI agents

TypedMemory is an open-source library that gives AI agents long-term memory and reflection capabilities. It stores, retrieves, and evolves memories, automatically detecting contradictions, tracking changes, resolving goals, and performing non-destructive summarization. With typed memories, structured provenance, and multiple conflict policies, it helps build more stable and debuggable AI systems.

SourceHacker News AIAuthor: ruxiz
TypedMemory – long-term memory and reflection for AI agents
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Summary only

Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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EngineersIntermediate

Key points

  • Typed memory system supporting types like claims, decisions, risks, with built-in conflict policies.
  • Automatic contradiction detection and cross-linking prevents silent overwrites.
  • Memory evolution pipeline: reflection, drift detection, goal resolution, non-destructive summarization.
  • Zero runtime dependencies, multiple storage backends, and customizable domain profiles.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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