sickn33/agentic-awesome-skills/tree-ring-memory
Claude Code and agent skill by sickn33/agentic-awesome-skills
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Checking that the SKILL.md file is still in the repository.
Use Tree Ring Memory for local-first AI-agent memory lifecycle work: recall, evidence, audit, forgetting, and consolidation without transcript dumping.
Install
npx vskill@latest install sickn33/agentic-awesome-skills/tree-ring-memorySKILL.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:
Treat project-local .tree-ring files as more authoritative than generic examples in this skill. If the CLI is installed, inspect the current command surface before assuming flags:
If Tree Ring is not installed, resolve the actual project root and explain the exact project-local download before obtaining explicit approval to fetch it. Download the official, version-pinned v0.15.0/install.sh to a temporary file, verify its SHA-256 is ef0d5eb8f09cbe2e4c3abe80ee9a98a56759c89ad4ddd103d6c68314cd653ade, inspect it, then run it. The pinned source is https://raw.githubusercontent.com/TerminallyLazy/Tree-Ring-Memory/v0.15.0/install.sh.
Do not pipe a network response directly to a shell. After verification and inspection, show the exact installer command and obtain explicit approval again before executing it. For an installed global CLI, initialize from the project root with tree-ring --root .tree-ring init; for a project-local CLI, use .tree-ring/bin/tree-ring --root .tree-ring init.
Check for a newer release without changing files using tree-ring update --check. Run tree-ring update only with user authorization, then rerun init in each project root to refresh managed guidance while preserving custom content.
Step 2: Recall Before Risky Work
Use narrow, project-scoped recall first:
Use recalled memory as context, not authority. Verify it against current source files, tests, docs, issues, pull requests, logs, and runtime state before making changes.
Step 3: Write Only Durable Memory
Write concise memory only when it is likely to help future agents:
Prefer specific event types when supported locally:
decisionlessonwarningcorrectionuser_preferencetool_resultsummaryhypothesis
Store the durable lesson, decision, warning, or follow-up. Do not store the full conversation.
Step 4: Record Evidence for Evaluated Outcomes
Use evidence records for test runs, incidents, reviewed changes, or other evaluated outcomes:
Outcome guidance:
promoted: durable truth backed by strong evidencerejected: failed or rolled-back approach worth keeping visibledeferred: unresolved idea or future optionobserved: normal evaluated result
Do not promote weak, stale, or unreviewed claims to durable truth.
Step 5: Use Source Adapters Carefully
When a repo has structured source records, run dry runs first:
Only write adapter summaries when they are concise, source-linked, useful, and privacy-safe. Imported memory does not replace the underlying AGENTS.md, Revolve record, test, pull request, issue, or documentation.
Ring Selection
Use the smallest durable ring that fits:
cambium: active or recent task contextouter: recent decisions and task lessonsinner: older compressed project knowledgeheartwood: durable high-confidence truthsscar: failures, regressions, rejected approaches, warningsseed: unresolved ideas, hypotheses, follow-ups
Prefer outer or seed unless the user confirms durability or the evidence is strong.
Best Practices
- Recall before risky or repeat work.
- Keep project memory project-scoped unless it is a durable cross-project user
preference.
- Attach source references such as file paths, issue ids, PR ids, evaluation
runs, or docs paths.
- Re-check current source files and runtime state before acting on recalled
memory.
- Ask at closeout what future agents should remember, avoid, or revisit.
- Use redaction, deletion, or supersession when memory is wrong, stale,
sensitive, or replaced by a newer decision.
Security & Safety Notes
- Never use Tree Ring Memory as a hidden recorder.
- Do not store secrets, credentials, tokens, private keys, recovery codes, raw
chain-of-thought, or temporary scratchpad content.
- Do not store sensitive personal data unless the user explicitly asks and the
retention boundary is safe.
- Do not store copyrighted source text beyond short allowed excerpts.
- Do not run installer, network, destructive, or mutation commands without
explicit user approval and a clear target environment.
- Treat all examples as commands to adapt after checking local
--help, not as
guaranteed command surfaces.
Limitations
- Tree Ring Memory is not a replacement for source control, issue trackers,
documentation, tests, logs, or live runtime verification.
- Recalled memory can be stale or wrong. Always verify important claims against
the current project before using them to make changes.
- The CLI surface can change across releases. Prefer local
.tree-ring
guidance and tree-ring --help over copied command examples.
- It should not be used for secret storage, comprehensive transcript archives,
compliance retention, or unreviewed collection of sensitive personal data.
- Cross-agent interoperability depends on each tool's ability to call the local
CLI or read project-local guidance files.
Common Pitfalls
- Problem: Recalled memory conflicts with current source.
Solution: Treat source files, tests, docs, and runtime evidence as authoritative; supersede or forget stale memory.
- Problem: Memory starts becoming transcript storage.
Solution: Store only durable decisions, warnings, preferences, outcomes, and follow-ups.
- Problem: A lesson is useful but contains sensitive detail.
Solution: Store a redacted summary or do not store it.
Related Skills
@agent-memory-systems- Use for broad agent-memory architecture choices.@agent-memory- Use for the listed hybrid memory MCP system.@planning-with-files- Use when simple persistent files are enough.
Additional Resources
- Tree Ring Memory repository: <https://github.com/TerminallyLazy/Tree-Ring-Memory>
- Codex plugin wrapper: <https://github.com/TerminallyLazy/tree-ring-memory-codex-plugin>
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/tree-ring-memory/SKILL.md
Popularity
- Repository stars
- 47,054
- Repository forks
- 6,853
- 7-day trend score
- 54
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
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- Devin
- Phind
- Mentat
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- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
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