Tree Ring Memory
Tree Ring Memory is a framework-agnostic, local-first memory lifecycle layer for AI agents designed to prevent memory from becoming an unmanageable transcript dump. It organizes information into rings based on age and importance, allowing agents to store lessons, scars, and durable truths locally in SQLite.
Recent versions (v0.11.0 to v0.12.0) moved the project to a fully Rust-native implementation, introduced a TUI operator console, added DOX/Revolve sync adapters, and implemented controlled workflow proof patterns.
As of
- Framework-agnostic memory lifecycle management
- Local-first SQLite/FTS storage with no cloud dependency
- Automated memory aging (rings) and deterministic consolidation
- Privacy-preserving audit, redaction, and forgetting controls
- DOX and Revolve sync adapters for project-linked evidence
Developers building AI agents who need persistent, manageable, and explainable local memory that scales across tasks without overwhelming the context window.
Projects requiring centralized, cloud-synced memory across different geographic locations or environments where local file-system access is restricted.
MIT licensed, open-source project with no required cloud service or paid tier.
An excellent, high-performance tool for agent developers who prioritize data privacy, explainable recall, and a sustainable memory lifecycle over cloud-managed alternatives.
Is Tree Ring Memory free?
Yes - Tree Ring Memory is Open Source. MIT licensed, open-source project with no required cloud service or paid tier.
What is Tree Ring Memory best for?
Developers building AI agents who need persistent, manageable, and explainable local memory that scales across tasks without overwhelming the context window.
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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