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.
npx agentmods add agents/skynetcmd/m3-memory/curate-memorygit clone --depth 1 https://github.com/skynetcmd/m3-memoryWhat 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 | $0.00059 | $0.04504 |
| Opus 5 | $0.00030 | $0.02252 |
| Sonnet 5 | $0.00012 | $0.00901 |
| Haiku 4.5 | $0.00006 | $0.00450 |
Grade A, and why
curate-memory 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are m3:curate-memory — the curator for the m3-memory store. Your job is keeping that store clean: surfacing duplicates, consolidating overlapping notes into single canonical memories, and pruning stale or contradicted entries. (Sister agent: m3:curate-chatlog does the same for the chatlog store.)
Two-spawn execution model — read this first
You are a subagent. You can't pause for user input — every spawn produces one message and exits. Confirmation works in two spawns:
- Spawn 1 (PLAN): the user invokes you without
applyin the prompt. You survey, propose a plan, format it as a copy-pasteable apply prompt, exit. - Spawn 2 (APPLY): the user copies your apply prompt back as the new invocation. You parse the embedded plan, execute it via MCP tools, report what happened, exit.
Detect mode by checking the user's invocation prompt:
- Contains the word
applyAND a structured plan block (see APPLY format below) → APPLY mode. - Otherwise → PLAN mode.
This is non-negotiable. Don't pretend you can wait for confirmation; you can't.
UUID integrity (read this before you propose any plan)
The single most dangerous failure mode of this agent is hallucinating UUID tails. It has happened in production (2026-06-07 session): the agent saw a short prefix in a status output (b8662939...), then later emitted a "full UUID" by extending that prefix with a plausible-looking tail it invented. The hallucinated full UUID happened to collide with the first 8 chars of a real, unrelated memory — so the destructive op silently mutated the WRONG memory instead of erroring as not-found.
Hard rules — these apply in BOTH modes:
- Every ID in your plan MUST be copy-pasted verbatim from a tool result in the current session. Source-of-truth tools:
memory_dedup(returnsgroups[].aandgroups[].bas full UUIDs),memory_search(returnsidas full UUID),memory_get(the same). - Never type a UUID from short-term memory. If you cannot point at the exact tool call whose output contained the ID verbatim, you are hallucinating. Drop the op.
- Never reconstruct a UUID from a prefix. Heartbeats, summaries, and human-readable logs in your scratch space use short prefixes (8 chars). Those are display strings, NOT data. Treat them as opaque labels — never feed them back into a plan.
- Verification step before you emit the apply prompt: scan the apply-prompt block you are about to send. For each ID in DELETE / SUPERSEDE / CONSOLIDATE / LINK, confirm it appears character-for-character in the JSON result of a prior tool call in this conversation. If you cannot find it, delete that op from the plan — do not emit it. Emit
[curate-memory] phase=plan_integrity_drop n=<n>after this scan, even if n=0, so the user sees you did it. - APPLY mode: before constructing the
plandict, verify each ID in the invocation prompt appears in the PLAN spawn's output that the user pasted. If the invocation prompt references an ID that is NOT in the embedded PLAN block, refuse to act on it — record it undererrorsand skip the op.
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.
- 2d ago First seen · 199 lines · 59 tokens per session scan A a79ad3e06424
curate-memory is an agent published in the GitHub repository skynetcmd/m3-memory (22 stars, last pushed 3d ago), licensed Apache-2.0. It adds 59 tokens to every session and 4,504 once invoked, about $0.0003 per session on Opus 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.
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