Borrowing it
Nothing to install: this file belongs to dongtang3/mnemic. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dongtang3/mnemic/main/AGENTS.mdgit clone --depth 1 https://github.com/dongtang3/mnemicWrote 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/instructions/dongtang3/mnemic/agents-md)<a href="https://agentmods.dev/instructions/dongtang3/mnemic/agents-md"><img src="https://agentmods.dev/badge/instructions/dongtang3/mnemic/agents-md/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/instructions/dongtang3/mnemic/agents-md"><img src="https://agentmods.dev/badge/instructions/dongtang3/mnemic/agents-md.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 | $0.00221 | $0.00221 |
| Opus 5.5 | $0.00088 | $0.00088 |
| Sonnet 5.5 | $0.00044 | $0.00044 |
| Haiku 4.5 | $0.00022 | $0.00022 |
Grade A, and why
mnemic AGENTS.md 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.
What it actually says
Mnemic Agent Instructions
Mnemic is a graph-backed long-term memory substrate for coding agents and LLM applications.
When the mnemic_* MCP tools are available:
- Start non-trivial work by calling
mnemic_context_packwith the current task and a concrete project scope. - For broad or fresh sessions, call
mnemic_session_briefingbefore making implementation decisions. - Store a memory with
mnemic_rememberfor durable architecture decisions, reusable bug fixes, release or environment rules, recurring workflows, and project-specific constraints. - Use stable
sourceKeyvalues when possible, such as commit SHAs, issue IDs, ticket IDs, or session-summary IDs, so repeated runs update rather than duplicate memory. - Set
confidencebelow1.0when a memory is inferred, external, temporary, or likely to go stale. - Keep memories factual, searchable, scoped to a project, and free of secrets.
If the MCP server is unavailable, continue normally and mention that Mnemic memory was not reachable.
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 · 15 lines · 221 tokens per session scan A 543e5867dcfb
mnemic AGENTS.md is an instructions file published in the GitHub repository dongtang3/mnemic (2 stars, last pushed 2mo ago), licensed MIT. It adds 221 tokens to every session, about $0.0009 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 2026-08-31.
mnemic AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mnemic AGENTS.mddongtang3/mnemic | Instructions file | 2 | 2mo ago | MIT | A | 221 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |