Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add TT-Wang/memem/plugin install mememWrote 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/tt-wang/memem/memem-status)<a href="https://agentmods.dev/skills/tt-wang/memem/memem-status"><img src="https://agentmods.dev/badge/skills/tt-wang/memem/memem-status.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 | $0.00023 | $0.00127 |
| Opus 5 | $0.00012 | $0.00063 |
| Sonnet 5 | $0.00005 | $0.00025 |
| Haiku 4.5 | $0.00002 | $0.00013 |
Grade A, and why
memem-status scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Run PYTHONPATH="${CLAUDE_PLUGIN_ROOT}" python3 -m memem.server --status and display the results.
Mining is event-triggered in v2.1.0+: it fires automatically on every Claude Code Stop event when ~/.memem/.miner-opted-in exists. There is no daemon to start. If the opt-in marker is missing, suggest: touch ~/.memem/.miner-opted-in
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.
- 6d ago First seen · 10 lines · 23 tokens per session scan A 17153d149c63
memem-status is a skill published in the GitHub repository TT-Wang/memem (32 stars, last pushed 4d ago), licensed MIT. It adds 23 tokens to every session and 127 once invoked, about $0.0001 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.
Other skills, from other repositories
stats
Show Captain Memo's corpus statistics (chunks per channel, observation counts, indexing progress, embedder info). Use when the user types /captain-memo:stats.
observations
List recent captured session observations (the Haiku-summarized voyage logs). Use when the user wants to see what Captain Memo has logged from past sessions.
captain-memo
Persistent cross-session, cross-tool memory for this project via captain-memo. Use at the START of any non-trivial task to recall prior context, decisions, conventions, and past bugs/fixes, and whenever you'd ask "have we done / decided / hit this before?". Searches a shared local memory corpus (past session…
forget
Delete a Wenlan memory by exact id from Codex. Destructive and confirmation gated. Invoked as /forget .
vault-for-llm
Connect OpenClaw to Vault Agent Memory as a local-first governed project memory layer. Search first, then bounded-read cited source ranges; propose new memories as candidates instead of writing directly into active memory.
skills
Your next session starts cold. No memory of what you built, what broke, what you decided. Every memory you write is a gift to that future session. The richer the memory, the less time re-learning.