Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/TerminallyLazy/Tree-Ring-MemoryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/terminallylazy/tree-ring-memory/tree-ring-recall)<a href="https://agentmods.dev/commands/terminallylazy/tree-ring-memory/tree-ring-recall"><img src="https://agentmods.dev/badge/commands/terminallylazy/tree-ring-memory/tree-ring-recall/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/terminallylazy/tree-ring-memory/tree-ring-recall"><img src="https://agentmods.dev/badge/commands/terminallylazy/tree-ring-memory/tree-ring-recall.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00012 | $0.00417 |
| Opus 5.5 | $0.00005 | $0.00167 |
| Sonnet 5.5 | $0.00002 | $0.00083 |
| Haiku 4.5 | $0.00001 | $0.00042 |
Grade A, and why
tree-ring-recall scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- tree-ring-recall — 100% identical, 0 lines differ
What it actually says
Tree Ring Recall
Recall useful project memory before acting on context-dependent work.
-
Check for project-local guidance first:
test -f .tree-ring/SKILL.md && sed -n '1,520p' .tree-ring/SKILL.md test -f .tree-ring/CLI.md && sed -n '1,520p' .tree-ring/CLI.mdFollow the skill's Runtime Bootstrap And Updates procedure and confirm the selected binary reports 0.15.0 or newer. Bootstrap or upgrade when the user's request already authorizes it; otherwise obtain permission before downloading or changing software. Never fabricate recall.
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Use the user's argument as the focused recall query when present:
tree-ring recall "$ARGUMENTS" -
If no argument is provided, choose a narrow query from the current task and include project scope when known.
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In a fan-out worker, filter recall with its agent profile plus the shared workflow and current session. At coordinator fan-in, omit only the agent-profile filter deliberately so all worker results remain visible:
env -u TREE_RING_AGENT_PROFILE tree-ring recall "$ARGUMENTS" \ --workflow-id "$TREE_RING_WORKFLOW_ID" \ --session-id "$TREE_RING_SESSION_ID" \ --scope agent -
Treat recall as context, not authority. Prefer source-linked, high-confidence, non-superseded entries and verify drift-prone facts before relying on them.
Identity and scope partition and route local memory; they are not read ACLs. The supported shared-root boundary is cooperative processes on one host and a local filesystem, not cross-host or network-filesystem coordination.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 50 lines · 12 tokens per session scan A 61b94d6f5689
tree-ring-recall is a command published in the GitHub repository TerminallyLazy/Tree-Ring-Memory (20 stars, last pushed 1mo ago), licensed MIT. It adds 12 tokens to every session and 417 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
memorywhale-check
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slm-remember
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slm-status
Health and optimization stats for SuperLocalMemory — call slmoptimizestats() for live compression and cache counters (compressruns, tokenssavedcompress, cacheproxyhits, cacheproxymisses, cachekvhits, cachekvmisses); run slm status [--json] for system state (mode, profile, DB size, fact/entity/edge counts) and slm…
slm-session
Manage SuperLocalMemory session lifecycle — call sessioninit once at the start of every fresh session to load relevant project context and get a sessionid; call closesession when work is meaningfully complete to commit temporal summaries. Correct lifecycle hygiene is what makes SLM's learning loop work.
slm-getting-started-bot
First-session orientation for SuperLocalMemory on a headless bot host (Grok Bot, or any Cursor-format plugin install with no hooks, no dashboard, and no interactive setup wizard). What is different here vs. Claude Code/Codex, which 19 tools are actually available, and the first three calls to make.
slm-web-access
Set up and troubleshoot SuperLocalMemory Web access, the optional link that lets web apps (ChatGPT, Claude on the web, Muse, Composio, other remote MCP clients) use the memory on this computer. Covers turning it on from the dashboard, adding and removing apps, read/save/session permissions, the second yes for bot…