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.
git clone --depth 1 https://github.com/mergisi/openclaw-rulesWrote 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/rules/mergisi/openclaw-rules/memory-system)<a href="https://agentmods.dev/rules/mergisi/openclaw-rules/memory-system"><img src="https://agentmods.dev/badge/rules/mergisi/openclaw-rules/memory-system/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/mergisi/openclaw-rules/memory-system"><img src="https://agentmods.dev/badge/rules/mergisi/openclaw-rules/memory-system.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00480 | $0.00480 |
| Opus 5.5 | $0.00192 | $0.00192 |
| Sonnet 5.5 | $0.00096 | $0.00096 |
| Haiku 4.5 | $0.00048 | $0.00048 |
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 1mo 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 — 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:
- SOUL.md (identity and rules)
- MEMORY.md (persistent memory)
- USER.md (user context, if exists)
- TOOLS.md (available commands, if exists)
- 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.
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.
- 1mo ago First seen · 72 lines · 480 tokens per session scan A ea307473f647
memory-system is a cursor rule published in the GitHub repository mergisi/openclaw-rules (2 stars, last pushed 7mo ago), licensed MIT. It adds 480 tokens to every session, about $0.0019 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 2026-08-31.
Other cursor rules, from other repositories
synapse
Rules for using Synapse MCP — prefer the graph over grep.
checkpoint
Persistent memory archival — save discoveries to prevent amnesia across sessions.
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
prefer-direct-imports-over-module-mocks
Prefer extracting a testable core over vi.mock / vi.resetModules when unit tests need to reach production logic entangled with config, env, or singletons.