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 instructions/gabrielmartinmoran/mind/agents-mdgit clone --depth 1 https://github.com/GabrielMartinMoran/mindWrote 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/gabrielmartinmoran/mind/agents-md)<a href="https://agentmods.dev/instructions/gabrielmartinmoran/mind/agents-md"><img src="https://agentmods.dev/badge/instructions/gabrielmartinmoran/mind/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 | $0.12780 | $0.12780 |
| Opus 5 | $0.06390 | $0.06390 |
| Sonnet 5 | $0.02556 | $0.02556 |
| Haiku 4.5 | $0.01278 | $0.01278 |
Grade B, and why
mind AGENTS.md scanned grade B with 1 finding 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 5d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
- **Claude setup behavior:** `mind setup claude-code` deep-merges `~/.claude/settings.json`, writes/refreshes `~/.claude/instructions/mind-memory-protocol.md`, and upserts a managed block in `~/.claude/CLAUDE.md` pointin How it starts
The opening of the file, as written. The whole thing — 528 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Project guide for AI agents and maintainers
This document describes the mind project: its architecture, behavior, technical choices, and how to use it. It is intended for AI agents and human maintainers. Agents that modify this codebase must keep this file updated when they change architecture, add commands, change config, or alter behavior (see Keeping this document updated).
1. Project overview
mind is a CLI tool for persistent long-term memory — tracking thoughts, ideas, tasks, and knowledge. Data is organized into named spaces, each containing memories with full-text search, tags, links, and a 3-tier CPU-cache-style access-frequency system.
- Runtime: Bun
- Language: TypeScript (strict mode, ESNext)
- Entry point: the
mindBash script at project root; invokessrc/mind.ts. Supports subcommands:serve(HTTP server),mcp(MCP server),setup(agent configuration), andupdate(self-update from GitHub releases). Also supports--completeflag to delegate tosrc/complete.ts(not yet implemented). - Persistence: SQLite database at
data/mind.db(path configurable viaMIND_DATA_DIRenv var orMIND_DB_PATHfor full path override). The legacybrain.jsonis supported as a migration source viamind import. - RAG/Embeddings: Optional semantic search via OpenAI
text-embedding-3-small. Enable withMIND_RAG=true+OPENAI_API_KEY. Embeddings stored as BLOBs in SQLite; generated fire-and-forget on add/update. - Layout:
src/contains CLI, MCP, and API server code.test/contains backend/CLI tests.web/contains frontend source (web/src), styles (web/styles), static assets (web/assets), static HTML shell (web/public), and web-specific tests (web/test).scripts/contains E2E test scripts. - Neural Map MVP: web SPA includes a read-only per-space graph view using a minimal graph API payload and on-demand memory detail fetch, with deterministic best-effort anti-overlap placement, 25-char visible label truncation (full name retained via accessibility/tooltip), and higher zoom ceiling for dense maps.
- Web SPA URL routing: client-side URL contract is
/'(home) and/spaces/{encodedSpace}?view=list|map&memory={encodedMemory?}with reload restore, browser back/forward support (popstate), and safe fallback canonicalization when route params are invalid.
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.
- 5d ago First seen · 528 lines · 12,780 tokens per session scan B 104b8f49f405
mind AGENTS.md is an instructions file published in the GitHub repository GabrielMartinMoran/mind (145 stars, last pushed 2mo ago), licensed MIT. It adds 12,780 tokens to every session, about $0.0639 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
langchain AGENTS.md
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.