Agent skill · Security

tree-ring-memory

Use Tree Ring Memory for local-first AI-agent memory lifecycle work: recall, evidence, audit, forgetting, and consolidation without transcript dumping.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill tree-ring-memory --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 8 KB
Bundled scripts: none
Declared author: TerminallyLazy
Path: skills/tree-ring-memory/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Tree Ring Memory ## Overview Tree Ring Memory is a framework-agnostic, local-first memory lifecycle layer for AI agents. Use this skill when an agent should recall, preserve, audit, or forget durable project memory without treating raw conversation transcripts as memory. The public runtime is a Rust CLI/TUI with local SQLite/FTS storage, scoped recall, evidence records, audit, deterministic consolidation, maintenance, DOX/Revolve source adapters, framework discovery, redaction, and explicit forgetting. ## When to Use This Skill - Use before resuming a project where prior decisions, warnings, preferences, or failed approaches may matter. - Use before changing architecture, storage, security, privacy, release, or agent-memory behavior. - Use when the user asks to remember, recall, audit, redact, forget, or consolidate agent memory. - Use after tests, reviews, incidents, or production behavior validate a lesson future agents should preserve. - Use when a project contains `.tree-ring/SKILL.md`, `.tree-ring/CLI.md`, or other Tree Ring bridge files. ## How It Works ### Step 1: Discover Local Guidance Check whether the current project already has Tree Ring guidance: ```bash test -f .tre

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. How It Works
  4. Step 1: Discover Local Guidance
  5. Step 2: Recall Before Risky Work
  6. Step 3: Write Only Durable Memory
  7. Step 4: Record Evidence for Evaluated Outcomes
  8. Step 5: Use Source Adapters Carefully
  9. Ring Selection
  10. Best Practices
  11. Security & Safety Notes
  12. Limitations
  13. Common Pitfalls
  14. Related Skills
Commands it runs
test -f .tree-ring/SKILL.md && sed -n '1,220p' .tree-ring/SKILL.md
test -f .tree-ring/CLI.md && sed -n '1,220p' .tree-ring/CLI.md
tree-ring --help
tree-ring recall --help
tree-ring remember --help
tree-ring evidence --help
tree-ring audit --help
tree-ring forget --help
tree-ring recall "release behavior" --scope project
tree-ring recall "sqlite migration" --scope project
More from agentic-awesome-skills
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About this skill
What does the tree-ring-memory skill do?

Use Tree Ring Memory for local-first AI-agent memory lifecycle work: recall, evidence, audit, forgetting, and consolidation without transcript dumping.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill tree-ring-memory --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going