Borrowing it
Nothing to install: this file belongs to madeindigio/remembrances-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/madeindigio/remembrances-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/madeindigio/remembrances-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/madeindigio/remembrances-mcp/agents-md)<a href="https://agentmods.dev/instructions/madeindigio/remembrances-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/madeindigio/remembrances-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 | $0.00647 | $0.00647 |
| Opus 5 | $0.00324 | $0.00324 |
| Sonnet 5 | $0.00129 | $0.00129 |
| Haiku 4.5 | $0.00065 | $0.00065 |
Grade A, and why
remembrances-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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Remembrances‑MCP — Project Instructions
This project is a fully operational Go-based MCP (Model Context Protocol) server implementing a x-layers memory system (key-value facts, vector/RAG semantic memories, graph entities/relationships, code, events) backed by SurrealDB and exposing functionality as MCP tools.
Features
- MCP server support, stdio and http api
- API REST endpoints for memory management
- Integration with embeddings models using LangChain (OpenAI and ollama implemented)
- Plain text knowledge base and vector database support (Surrealdb implemented)
- Knowledge graph and memory graph support
- gguf models support for local embeddings generation and surrealdb embedded database support and external surrealdb database
- Support for llama.cpp with gpu optimizations
Deveplopment
To build the project, execute the following command:
make BUILD_TYPE=cuda build
For testing and running the MCP server locally, use:
xc build-and-copy
and request to user to start the MCP server manually.
Language for documenting, comments, and code implementation
Always use English for all code, comments, and documentation although the user may write in other languages.
🛠️ Work Methodology
Essential First Steps
- Activate project monitoring: Use
code_activate_project_watchto track changes in this project - Read remembrances: Use the tools of kb and hybrid_search and read relevant ones for context
- Research in codebase: Use
code_hybrid_searchfor current project implementation details - Check the plan: Review using
last_to_rememberfor current tasks
Development Workflow
- Planning: If you are unsure about if you are following a plan, check with
last_to_rememberto see the current plan and confirm with the user if needed, before proceeding. If you don't have a plan, create one, split into phases, save them each fase usingsave_factand save a summary of the plan usingto_remember. - Implementation: Write code in small, testable increments. After each increment, run tests to ensure functionality.
- Code Style: Follow Go best practices and project-specific coding standards
- Testing: Create tests in
tests/folder (Python files, not in root)
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 · 62 lines · 647 tokens per session scan A b1f76e475bfe
remembrances-mcp AGENTS.md is an instructions file published in the GitHub repository madeindigio/remembrances-mcp (11 stars, last pushed 4mo ago), licensed MIT. It adds 647 tokens to every session, about $0.0032 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 instructions, from other repositories
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.
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).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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).
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.