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/hjqcan/GoodMemoryWrote 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/hjqcan/goodmemory/remember)<a href="https://agentmods.dev/commands/hjqcan/goodmemory/remember"><img src="https://agentmods.dev/badge/commands/hjqcan/goodmemory/remember/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/hjqcan/goodmemory/remember"><img src="https://agentmods.dev/badge/commands/hjqcan/goodmemory/remember.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 | $0.00009 | $0.00246 |
| Opus 5.5 | $0.00004 | $0.00098 |
| Sonnet 5.5 | $0.00002 | $0.00049 |
| Haiku 4.5 | $0.00001 | $0.00025 |
Grade A, and why
remember 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.
What it actually says
Treat $ARGUMENTS as one user-originated statement. Reject an empty argument,
multiple unrelated statements, secrets, credentials, raw transcripts, private
file contents, or unconfirmed inference. Otherwise call
mcp__goodmemory__goodmemory_remember with content set to $ARGUMENTS,
role: "user", and cwd set to the current project absolute path.
Omit optional arguments unless the user supplied them. Do not invent
observedAt, sessionId, locale, timezone, or classification hints, and do not
run a shell command merely to fill an optional timestamp. A supplied
observedAt must be an RFC 3339 instant with a timezone, not a date-only value.
If the active tool schema permits null, use it for an unknown optional value
when omission is unavailable. Never use empty strings as absence markers.
Kimi Code's approval remains the final authorization boundary. Report only
accepted, rejected, merged, and explanation fields actually returned by the
tool; a missing field is not zero. Never claim success before the tool returns
it.
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 Changed · +7 lines fba8a6a86978
- 1mo ago First seen · 13 lines · 9 tokens per session scan A a14938dc2d68
remember is a command published in the GitHub repository hjqcan/GoodMemory (19 stars, last pushed yesterday), licensed MIT. It adds 9 tokens to every session and 246 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
recall
Search this machine's past AI coding sessions (deja-vu).
krimto-status
Show the current state of Krimto memory — total facts, scope breakdown, recent writes, and index health.
compass-verify
Verify the Merkle hash chain over /.claude/projects/ /memory/ and report any tampered or missing files.
tree-ring-recall
Recall durable Tree Ring Memory context before starting or resuming work.
tree-ring-update
Check for or install a verified Tree Ring Memory CLI update without changing installation scope.
tree-ring-status
Check receipt-backed Tree Ring harness readiness without claiming configuration is activation.