memory-system

Rules for an OpenClaw agent's persistent memory: a MEMORY.md file that keeps important facts between sessions, plus optional user notes.

In plain words
What is it for?
Use them when maintaining OpenClaw memory, including keeping it concise, organised, current, and below 200 lines.
Why use it?
They prevent useful decisions, preferences, and project context from being lost when a new session starts.

Cursor rule

Install

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.

agentmods
npx agentmods add rules/mergisi/openclaw-rules/memory-system
Clone the repo
git clone --depth 1 https://github.com/mergisi/openclaw-rules
Per session 480 This file is loaded in full into every session.
When invoked 480 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00480 $0.00480
Opus 5 $0.00240 $0.00240
Sonnet 5 $0.00096 $0.00096
Haiku 4.5 $0.00048 $0.00048

Measured yesterday against content hash ea307473f647, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

memory-system 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 yesterday.

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.

project-rules/memory-system.mdc · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Memory System

When working with OpenClaw agent memory and context management.

MEMORY.md

Every agent has a MEMORY.md file that persists across sessions. The agent reads it at startup and updates it when it learns something important.

Structure

# {Agent Name} — Memory

## About Me
- **Role:** {role}
- **Created:** {date}

## Key Decisions
- {Important decision and why it was made}

## Preferences
- {User preferences discovered over time}

## Context
- {Project-specific context}

## Notes
- MEMORY.md is loaded at session start.
- Update this file when you learn something important.
- Keep it concise — this is your long-term memory.

Rules

  • Max 200 lines. Beyond 200, the context becomes too large and the agent starts ignoring older entries.
  • Semantic organization. Group by topic, not chronologically. "User Preferences" not "Feb 23 Notes."
  • Update, don't append. When information changes, update the existing entry. Don't add a new line saying "actually, the previous thing was wrong."
  • Delete stale info. If a decision was reversed or context is no longer relevant, remove it.

USER.md

Optional file for user-specific context that the agent should always know:

# User Context

## Products
- AI2SQL (ai2sql.io) — Text-to-SQL tool
- CrewClaw (crewclaw.com) — Agent deploy platform

## Preferences
- Never auto-commit or push without asking
- Respond in English only
- Keep responses concise

Context Loading Order

When an agent starts a session, it loads context in this order:

  1. SOUL.md (identity and rules)
  2. MEMORY.md (persistent memory)
  3. USER.md (user context, if exists)
  4. TOOLS.md (available commands, if exists)
  5. HEARTBEAT.md (scheduled tasks, if exists)

Tips

  • If the agent keeps forgetting something, add it to MEMORY.md or USER.md.
  • If the agent is too slow to start, MEMORY.md is probably too long. Trim it.
  • Use MEMORY.md for things the agent learned. Use USER.md for things you want to tell the agent.

Read the full file on GitHub · 72 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. yesterday First seen · 72 lines · 480 tokens per session scan A ea307473f647

Subscribe to this mod's changes

memory-system is a cursor rule published in the GitHub repository mergisi/openclaw-rules (2 stars, last pushed 6mo ago), licensed MIT. It adds 480 tokens to every session, about $0.0024 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.