Tree Ring Memory Tree Ring Memory
Tree Ring Memory is a framework-agnostic, local-first memory lifecycle layer for AI agents that organizes information into rings based on age, confidence, and importance. It replaces raw transcript dumps with a structured, inspectable memory store using SQLite and FTS that allows agents to consolidate, audit, and intentionally forget information.
Recent versions (v0.13-v0.15) introduced schema-v3 support, coordinated-write policies for multi-agent setups, project-local harness activation with receipt-backed readiness, and improved scope-preserving CLI updates.
As of
- Local-first SQLite storage with FTS recall
- Lifecycle-aware memory rings including cambium, heartwood, and scars
- Deterministic consolidation and audit tools without requiring LLMs
- Support for multi-agent correlation and coordinated write policies
- Integrated terminal UI for memory inspection and management
Developers building local-first, privacy-conscious AI agents who need a structured, durable way to manage project-specific decisions, lessons, and preferences.
Users looking for a cloud-hosted, managed, or ready-to-use SaaS agent platform, as it requires local installation and manual configuration of agent harnesses.
MIT licensed, free to use with no required cloud services or paid subscriptions.
A powerful, developer-centric tool that provides a sophisticated and mature approach to AI memory, making it an essential utility for those who prioritize privacy and long-term memory durability.
Is Tree Ring Memory free?
Yes - Tree Ring Memory is Open Source. MIT licensed, free to use with no required cloud services or paid subscriptions.
What is Tree Ring Memory best for?
Developers building local-first, privacy-conscious AI agents who need a structured, durable way to manage project-specific decisions, lessons, and preferences.
Who makes Tree Ring Memory?
Tree Ring Memory is developed by TerminallyLazy. It is listed in the Developer Productivity & Workflow category on ai.dosa.dev.
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