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 skills/donggyun112/keymem/keymemnpx skills add donggyun112/keymem --skill keymemgit clone --depth 1 https://github.com/donggyun112/keymemWrote 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/skills/donggyun112/keymem/keymem)<a href="https://agentmods.dev/skills/donggyun112/keymem/keymem"><img src="https://agentmods.dev/badge/skills/donggyun112/keymem/keymem.svg" alt="Measured on agentmods" 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 | $0.00056 | $0.00842 |
| Opus 5 | $0.00028 | $0.00421 |
| Sonnet 5 | $0.00011 | $0.00168 |
| Haiku 4.5 | $0.00006 | $0.00084 |
Grade A, and why
keymem 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
keymem protocol
Recall (open the turn)
- Before the first reply, and whenever the topic shifts, call
recallsilently. query= short noun keywords ("거주지", not"어디 살아");context= the raw user utterance. Keys match keywords, content matches sentences — the two cues take different paths.- Split multi-fact questions into several
recallcalls. - On
{status:"no_match"}, retry with one of the returnednearest_keys, orbrowse_keys(namespace). - A hit returns ranked keys plus one passive Top-1 memory. Use it directly when relevant, apply its
validity, and useconnected_keys[].key_idwhen another graph hop is useful. - For alternatives or fuller context:
read_key(key_id, query, namespace)→read_memory(memory_id, via_key_id, namespace). This explicit traversal may reinforce the selected path and learn aliases. <keymem-surfaced>blocks (the UserPromptSubmit hook) are previews. Load the exact record withread_memory, apply itsvaliditystatus, and ignore it when irrelevant.
Freshness and confirmation
read_memoryretrieves a fact and may reinforce the key path; it does not confirm or deepen the memory, verify current truth, or refresh it.freshmay be used normally. Qualifyagingfacts when currentness matters.- Never assert a
stalefact as current. Verify it externally or ask the user. - Call
confirm_memoryonly after an explicit current user assertion, an authoritative current source, or direct observation. - Never call
confirm_memorymerely becauseread_memoryreturned the content successfully. - Changed fact →
correct. Junk fact →forget. Wrong key →dismiss.
Remember (close the turn)
- Before ending every reply, check whether the turn revealed something durable: a name, preference, decision, correction, project fact, or goal. If it did, save it silently in the same turn.
remember(content, keys)with 3–6 keys. Each key is ONE atomic concept of 1–2 words ("recall","적중률"— never"recall 적중률 개선"). Phrase keys become unreachable singletons.- Keys MUST span both Korean and English, plus colloquial variants. Reuse the canonical concepts
recallreturned instead of minting near-duplicates. - Act on
hintsin the response (near_keys,language_note). - Use
correct— never a secondremember— when a stored fact changes.forgetto drop one. namespacegroups memories by project/context; pass the active one consistently.- A turn that surfaced a durable fact but saved nothing is a bug.
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 Changed · +14 lines f0f16b7c6120
- 6d ago First seen · 46 lines · 56 tokens per session scan A caae059be27c
keymem is a skill published in the GitHub repository donggyun112/keymem (3 stars, last pushed 2d ago), licensed MIT. It adds 56 tokens to every session and 842 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 2026-08-31.
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