Tree Ring Memory Framework
Local-first memory lifecycle for AI agents
A Rust-based memory layer for AI agents that stores, recalls, and consolidates memory locally with SQLite/FTS. It is built for developers who want explainable recall, explicit forgetting, and portable agent memory without a required cloud service.
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Tree Ring Memory Framework is a local-first memory infrastructure layer for AI agents. It is designed to help developers build memory that changes over time instead of accumulating raw transcripts, with support for capture, recall, consolidation, audit, forgetting, and superseding.
This is not a chat assistant or a full agent platform; it is a memory subsystem for other agents. The strongest part of the design is that memory operations are explicit and inspectable: recall includes ranking signals, and forgetting, redaction,...
Executes tasks you assign, one step at a time, within narrow domains.
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