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/MnemeHQ/mnemeWrote 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/mnemehq/mneme/mneme-context)<a href="https://agentmods.dev/commands/mnemehq/mneme/mneme-context"><img src="https://agentmods.dev/badge/commands/mnemehq/mneme/mneme-context/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/mnemehq/mneme/mneme-context"><img src="https://agentmods.dev/badge/commands/mnemehq/mneme/mneme-context.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 | $0.00010 | $0.00141 |
| Opus 5.5 | $0.00004 | $0.00056 |
| Sonnet 5.5 | $0.00002 | $0.00028 |
| Haiku 4.5 | $0.00001 | $0.00014 |
Grade A, and why
mneme-context 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 2mo 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.
This is a copy
100% identical to context — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Use the Bash tool to run:
mneme test_query \
--memory .mneme/project_memory.json \
--query "<user's task description>"
Surface the top decisions and their constraints so the user can see what governs the current work before making edits.
Tip: Use a descriptive query that names the domain of the work (e.g. "database storage layer", "authentication middleware", "API serialization"). Retrieval is keyword-based — the more specific the query, the more relevant the decisions returned. A generic query like "edit" will retrieve few or no decisions.
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.
- 2mo ago First seen · 20 lines · 10 tokens per session scan A 038ab0b0c9e0
mneme-context is a command published in the GitHub repository MnemeHQ/mneme (31 stars, last pushed 2d ago), licensed MIT. It adds 10 tokens to every session and 141 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to context, differing in 0 lines, and is treated as a copy.
mneme-context compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mneme-contextMnemeHQ/mneme | Command | 31 | 2d ago | MIT | A | 10 | Claude Code |
| rem_helpopenonion/connectonion | Command | 1.5k | today | Apache-2.0 | B | 0 | Claude Code |
| export-closedloop-learningsclosedloop-ai/claude-plugins | Command | 123 | yesterday | Apache-2.0 | A | 13 | Claude Code |
| compact-prepsammcj/agentic-coding | Command | 168 | 3d ago | Apache-2.0 | A | 30 | Claude Code |
| speckit.archiveopsmill/infrahub-mcp | Command | 10 | yesterday | Apache-2.0 | A | 15 | Claude Code |
| recallnaimkatiman/continuous-improvement | Command | 9 | 6d ago | MIT | A | 44 | Claude Code |
| fire-reflectThierryN/fire-flow | Command | 78 | 2mo ago | MIT | A | 3 | Claude Code |