Borrowing it
Nothing to install: this file belongs to mohamadalhusseinie/openmembrane. 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/mohamadalhusseinie/openmembrane/main/AGENTS.mdgit clone --depth 1 https://github.com/mohamadalhusseinie/openmembraneWrote 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/mohamadalhusseinie/openmembrane/agents-md)<a href="https://agentmods.dev/instructions/mohamadalhusseinie/openmembrane/agents-md"><img src="https://agentmods.dev/badge/instructions/mohamadalhusseinie/openmembrane/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 | $0.00936 | $0.00936 |
| Opus 5 | $0.00468 | $0.00468 |
| Sonnet 5 | $0.00187 | $0.00187 |
| Haiku 4.5 | $0.00094 | $0.00094 |
Grade A, and why
openmembrane 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project context for AI coding tools working on the OpenMembrane codebase.
Project Overview
OpenMembrane is a local-first, private, tool-agnostic memory membrane for AI coding tools. It autonomously extracts durable project knowledge from session transcripts, filters out secrets and noise, and persists approved memories — without any manual effort from the user.
Architecture
Pipeline
session transcript
-> secret redaction
-> memory extraction
-> classification
-> policy / safety / noise filtering
-> deduplication
-> conflict detection
-> action recommendation (auto_save / ask_user / reject)
-> memory store or pending candidate queue
Monorepo Structure
packages/core/ — Domain types, extraction interface, pipeline orchestration,
classification, policy, deduplication, conflict detection
packages/storage/ — Local JSON persistence (memories, pending candidates, audit, diagnostics)
packages/exporters/ — Static fallback file generation (AGENTS.md, CLAUDE.md, etc.)
packages/shared/ — IDs, time helpers, generic result types
apps/mcp-server/ — MCP server (tool registration, validation, error responses)
tests/ — All test files (unit and integration)
Packages are imported via path aliases: @openmembrane/core, @openmembrane/storage, @openmembrane/exporters, @openmembrane/shared.
Extractor Boundary
LLM integration stays behind an interface. The core must not hardwire a single provider.
interface MemoryExtractor {
extract(input: SessionInput): Promise<MemoryCandidate[]>;
}
TypeScript Conventions
- Target: ES2022, ESM (
"type": "module"in package.json) - Strict mode with
noUncheckedIndexedAccessandexactOptionalPropertyTypesenabled - Use
typeimports for type-only references (import type { ... }) - No enums — use
as constarrays with derived union types (seeMemoryCandidate.tsfor examples) - Prefer explicit return types on exported functions
- Use
readonlyfor class fields that are set once in the constructor
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 · 109 lines · 936 tokens per session scan A 7c3e54a6c09b
openmembrane AGENTS.md is an instructions file published in the GitHub repository mohamadalhusseinie/openmembrane (0 stars, last pushed 1mo ago), licensed MIT. It adds 936 tokens to every session, about $0.0047 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.
Other instructions, from other repositories
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.
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).
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).
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.
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.