agent-memory SKILL.md skillC

agent-memory from pr-e/openclaw-master-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

mdr add pr-e/openclaw-master-skills/agent-memory@git:20260311.3e83cee

Pins git:20260311.3e83cee in mdr.lock. Pin the fingerprint instead.

Audit grade

C, 14 of 17 checks passed

Kind

SKILL.md skill

Repository

pr-e/openclaw-master-skills

Path

skills/agent-memory/SKILL.md

Versions recorded

1

Latest version

git:20260311.3e83cee, committed Mar 11, 2026

Size

1,385 bytes

Repository stars

3

License

MIT

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# AgentMemory Skill

Persistent memory system for AI agents. Remember facts, learn from experience, and track entities across sessions.

## Installation

```bash
clawdhub install agent-memory
```

## Usage

```python
from src.memory import AgentMemory

mem = AgentMemory()

# Remember facts
mem.remember("Important information", tags=["category"])

# Learn from experience
mem.learn(
    action="What was done",
    context="situation",
    outcome="positive",  # or "negative"
    insight="What was learned"
)

# Recall memories
facts = mem.recall("search query")
lessons = mem.get_lessons(context="topic")

# Track entities
mem.track_entity("Name", "person", {"role": "engineer"})
```

## When to Use

- **Starting a session**: Load relevant context from memory
- **After conversations**: Store important facts
- **After failures**: Record lessons learned
- **Meeting new people/projects**: Track as entities

## Integration with Clawdbot

Add to your AGENTS.md or HEARTBEAT.md:

```markdown
## Memory Protocol

On session start:
1. Load recent lessons: `mem.get_lessons(limit=5)`
2. Check entity context for current task
3. Recall relevant facts

On session end:
…

Read the whole file at its exact version.

How to install

mdr add pr-e/openclaw-master-skills/agent-memory@sha256:7de6c27f611b9abf

[![mdr](https://markdownregistry.com/badge/art_jlg7zq6pwu5ns3ro.svg)](https://markdownregistry.com/a/art_jlg7zq6pwu5ns3ro)

Versions

The registry has recorded 1 version of this file, committed on Mar 11, 2026.

Audit of the latest version

Source

API

GET https://markdownregistry.com/api/v1/artifacts/art_jlg7zq6pwu5ns3ro
GET https://markdownregistry.com/api/v1/resolve?ref=pr-e/openclaw-master-skills/agent-memory
GET https://markdownregistry.com/api/v1/blob/7de6c27f611b9abf3928eaeeda14b850fcc852831db9e0087516e5612bd5aa72

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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