Borrowing it
Nothing to install: this file belongs to tinhien11/remem-mcp. 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/tinhien11/remem-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/tinhien11/remem-mcpWrote 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/tinhien11/remem-mcp/agents-md)<a href="https://agentmods.dev/instructions/tinhien11/remem-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/tinhien11/remem-mcp/agents-md.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 | $0.03501 | $0.03501 |
| Opus 5 | $0.01750 | $0.01750 |
| Sonnet 5 | $0.00700 | $0.00700 |
| Haiku 4.5 | $0.00350 | $0.00350 |
Grade A, and why
remem-mcp 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 8d 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 — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Rules
Always use remem-mcp
You have a long-term memory server (remem-mcp MCP). Always prefer it over grep/glob for code navigation and project context.
Before answering or coding
- Check for
[remem-mcp]at the top of the turn — hooks auto-inject matching memory - MUST call
recall()at the start of every non-trivial task — even if memory was injected. Injected memory is BM25-only (fast, shallow).recall()does hybrid search (BM25 + vector) with more results and filters. - Use results to inform your answer — don't repeat what recall already gave you
Before searching code
- For non-trivial code work, call
codegraph_index({ path: "src" })once per session. It is idempotent and incrementally updates changed files. - Call
searchorrecallfirst — it searches Memory + CodeGraph + Wiki in one call - Use
codegraph_searchfor function/class/method symbols; reserve grep/glob for strings, config values, and file names
For code navigation
- Prefer
codegraph_searchover grep; it understands function/class/method structure - Use
searchto find symbols (faster than grep, understands function/class/method structure) - Use CodeGraph data from recall results for callers/callees/impact analysis
- Only read files directly when you know the exact path
After completing non-trivial work
- Call
captureautomatically with type, tags, and a 1-3 sentence summary - Do not ask permission, do not announce it
Global memory policy
- Global memory is read-by-default: when
REMEM_GLOBAL_SESSION_KEYis configured, recall/search/hooks can read it automatically. - Captures are project-local by default.
- Do not choose global memory automatically.
- Write to global only when the user explicitly asks, e.g. "remember this globally", "save this for all projects", or "lưu global".
- When writing global is explicitly requested, pass
session_key: "global". Do not passauto_global: trueduring ordinary work.
Session lifecycle
- SessionStart hook auto-injects recent memory — read it before responding
- UserPromptSubmit hook auto-injects memory matching your prompt + auto-captures facts
- PreToolUse hook injects canvas (F1) + skills (F3) + danger warnings + error predictions
- PostToolUse hook offloads tool output to refs (F1) + captures errors/patterns/decisions
- Stop hook auto-captures the session + extracts skills (F3) — but still call
capturefor key decisions during the session
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.
- 8d ago First seen · 229 lines · 3,501 tokens per session scan A 885e9e39c065
remem-mcp AGENTS.md is an instructions file published in the GitHub repository tinhien11/remem-mcp (4 stars, last pushed 5d ago), licensed MIT. It adds 3,501 tokens to every session, about $0.0175 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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AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.