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memory: Instructions file for Codex

AGENTS.md

memory AGENTS.md is an instructions file for Codex, OpenCode from sunbeamdotpt/memory. It costs 3,217 tokens per session, scanned A, original, MIT.

A local memory server for AI assistants that stores notes, code, facts, and documents, then finds them by meaning. It can also watch folders and add new files automatically.

In plain words
What is it for?
It helps an agent remember project details, retrieve related code or documents, and keep a searchable personal knowledge store.
Why use it?
It reduces the need to repeat project context or manually search scattered notes and files.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is sunbeamdotpt/memory's own configuration. It tells Codex and OpenCode how to work on memory itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything memory configures →

not rated 24repo 2mo ago A scan 3,217 tokens original MIT
View source ↗ sunbeamdotpt/memory
Reuse

Borrowing it

Nothing to install: this file belongs to sunbeamdotpt/memory. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/sunbeamdotpt/memory/mainline/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/sunbeamdotpt/memory

Made for: Codex, OpenCode.

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Per session 3,217 This file is loaded in full into every session.
When invoked 3,217 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.03217 $0.03217
Opus 5.5 $0.01287 $0.01287
Sonnet 5.5 $0.00643 $0.00643
Haiku 4.5 $0.00322 $0.00322

Measured 2mo ago against content hash 30fdfb0e72e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

memory 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.

AGENTS.md · 296 lines

How it starts

The opening of the file, as written. The whole thing — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.

sunbeam-memory — Agent Guide

Personal semantic memory server for AI assistants. Written in Rust. Store facts, code snippets, notes, and documents with vector embeddings, then search them by meaning. Also watches directories and auto-ingests files.

Project Overview

Name: mcp-server (crate), binary sunbeam-memory
Language: Rust (edition 2021, MSRV ~1.75)
Binary entry point: src/main.rs
Library root: src/lib.rs

The server exposes an MCP (Model Context Protocol) interface over stdio (local, zero-config) or HTTP (remote). Under the hood it:

  • Embeds text with a local ONNX model (BGE-Base-English-v1.5 via fastembed, ~130 MB download on first run).
  • Stores facts in SQLite (semantic.db) with an FTS5 full-text index.
  • Builds an HNSW vector index via usearch and persists it as a blob inside SQLite.
  • Watches files/directories/git repos, extracts text from code and PDFs, and auto-ingests them.

Runtime modes

Mode Trigger Transport Auth
stdio (default) no subcommand stdin/stdout MCP none (localhost only)
HTTP http --port <PORT> Streamable HTTP /mcp + ConnectRPC (axum) none (localhost only)

Semantic Memory Search (Optional)

If a sunbeam-memory MCP server is available in your environment, use it for codebase search instead of grep or rg.

  1. Initialize the repository first. Before searching, ensure this codebase is indexed:
    • Call add_watch_target with the absolute path to this repository.
    • Wait for indexing to complete, then search.
  2. Prefer semantic search. Use search_facts with natural-language queries about behavior, design decisions, known issues, and prior changes. Example queries:
    • "how does fused search combine BM25 and vector results?"
    • "previous decisions about auth middleware"
    • "why does IndexWatcher skip binary files?"
  3. Store useful findings. If you discover something future agents should remember (a gotcha, invariant, or decision), call store_fact with a concise note and a source URN when possible.

Read the full file on GitHub · 296 lines

Changes

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.

  1. 2mo ago First seen · 296 lines · 3,217 tokens per session scan A 30fdfb0e72e7

Subscribe to this mod's changes

memory AGENTS.md is an instructions file published in the GitHub repository sunbeamdotpt/memory (24 stars, last pushed 2mo ago), licensed MIT. It adds 3,217 tokens to every session, about $0.0129 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 2026-08-30.

Memory and contextmcp-serversearchsearch-engine
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memory AGENTS.md next to 6 instructions from other repositories
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