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-audit)<a href="https://agentmods.dev/commands/terminallylazy/tree-ring-memory/tree-ring-audit"><img src="https://agentmods.dev/badge/commands/terminallylazy/tree-ring-memory/tree-ring-audit/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-audit"><img src="https://agentmods.dev/badge/commands/terminallylazy/tree-ring-memory/tree-ring-audit.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 | $0.00013 | $0.00565 |
| Opus 5.5 | $0.00005 | $0.00226 |
| Sonnet 5.5 | $0.00003 | $0.00113 |
| Haiku 4.5 | $0.00001 | $0.00056 |
Grade A, and why
tree-ring-audit 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-audit — 100% identical, 0 lines differ
What it actually says
Tree Ring Audit
Audit memory when work is closing, when privacy may matter, or when older entries may be stale.
Read project-local .tree-ring/SKILL.md and .tree-ring/CLI.md first when
present. Follow the skill's Runtime Bootstrap And Updates procedure and confirm
the selected project-local or global 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 invent results.
Before any current command other than policy status or policy audit opens
an existing pre-v0.13 store, stop every Tree Ring process, checkpoint and back
up the complete store, and upgrade every CLI, plugin, and bundled worker. All
mixed-version operation is unsupported.
These policy preflight commands never create or migrate a store:
tree-ring policy status
tree-ring policy audit --limit 100
After the verified schema-v3 upgrade, start with non-mutating inspection:
tree-ring audit --audit-type sensitive
tree-ring consolidate --period-type manual --dry-run
tree-ring maintain
If the user names a focus, use it to narrow recall before changing memory:
tree-ring recall "$ARGUMENTS"
Use explicit forget operations only when justified:
tree-ring forget mem_example --mode redact --reason "remove sensitive detail"
tree-ring forget mem_example --mode delete --reason "should not be retained"
The CLI forget modes are redact and delete. For an explicit supersession,
use the TUI's /supersede <old_id> lifecycle action. Clarify the exact memory
identifier and mutation before running any lifecycle write.
In Coordinated mode, forget/redact, supersede, persisted consolidation, and
applied maintenance such as --repair-fts require
TREE_RING_COORDINATOR_TOKEN in the coordinator process environment. Never put
the capability value in a prompt, CLI argument, memory, log, source reference,
or committed file. policy status, policy audit, ordinary audit,
consolidation dry-run, and plain maintain do not change memory content on an
already-upgraded schema-v3 store. Only the two policy commands are guaranteed
not to create or migrate a store.
Do not delete, redact, or supersede memory without a clear reason. The coordinator policy is not a read ACL, and its shared-root support is bounded to cooperative processes on one host using a local filesystem.
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 · 67 lines · 13 tokens per session scan A dd0446c40ff5
tree-ring-audit is a command published in the GitHub repository TerminallyLazy/Tree-Ring-Memory (20 stars, last pushed 1mo ago), licensed MIT. It adds 13 tokens to every session and 565 once invoked, about $0.0001 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-bot-memory
Cross-bot memory on a shared computer (Grok Bot, Cursor plugin, any host where several agents share one machine). Explains agentid attribution vs. profile/scope access, how to namespace by agentid + profile + scope, and what must never be written to memory. Read this before the first remember/recall on a new…
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.