OpenClaw
What is OpenClaw?
OpenClaw (also known as Clawdbot) is an open-source AI agent framework that runs locally on your machine, providing a personal AI assistant with full access to your tools, files, and services. Unlike cloud-only AI assistants, OpenClaw operates from your own computer—reading files, executing commands, browsing the web, and connecting to your services.
The framework gained attention through viral posts demonstrating its architecture: a system of configuration files that give agents persistent identity, memory, and self-management capabilities. The key insight: AI agents need infrastructure, not just prompts.
Core philosophy:
- Local-first: Your data stays on your machine
- File-based memory: Text files beat neural memory
- Workspace conventions: Standard files create standard behaviors
- Self-managing agents: Hooks, heartbeats, and automation
The OpenClaw architecture
OpenClaw uses a workspace directory with standard files that define agent behavior:
~/clawd/ # Agent workspace
├── SOUL.md # Agent identity and personality
├── USER.md # Information about the user
├── MEMORY.md # Long-term curated knowledge
├── AGENTS.md # Workspace conventions and rules
├── HEARTBEAT.md # Periodic check instructions
├── TOOLS.md # Tool-specific notes
├── BOOTSTRAP.md # Initial setup (deleted after first run)
├── memory/ # Daily logs and working notes
│ ├── 2024-01-15.md
│ ├── 2024-01-16.md
│ └── heartbeat-state.json
├── skills/ # Modular capabilities
│ ├── camera/
│ ├── calendar/
│ └── email/
└── projects/ # Project-specific context
Each file serves a specific purpose in the agent's operation.
Key configuration files
SOUL.md - Agent identity
Defines who the agent is:
# SOUL.md
You are Atlas, a research and productivity assistant.
Personality
- Thorough but concise
- Proactive without being pushy
- Direct communication style
- Curious about context
Values
- Accuracy over speed
- Privacy by default
- Respect user's time
- Admit uncertainty
Boundaries
- Never send external communications without confirmation
- Don't access sensitive files unless asked
- Use trash instead of delete
**USER.md - User context**
Information about the person the agent serves:
```markdown
# USER.md
About
- Software developer, works on AI projects
- Prefers bullet points over paragraphs
- Morning person, most productive before noon
Preferences
- Communication: Direct, no fluff
- Format: Markdown with headers
- Tone: Professional but casual
Current Focus
- Building AI agent infrastructure
- Writing about agent architecture
**MEMORY.md - Long-term memory**
Curated knowledge that persists:
```markdown
# MEMORY.md
Key Facts
- Project Phoenix deadline: March 15
- Sarah's birthday: March 15
- Preferred meeting times: 10 AM, 2 PM
Learned Preferences
- Likes detailed code comments
- Prefers TypeScript over JavaScript
- Uses Vim keybindings
Past Decisions
- Chose PostgreSQL for the main database
- Selected Tailwind for CSS framework
**AGENTS.md - Workspace rules**
Conventions and behaviors for the workspace:
```markdown
# AGENTS.md
Every Session
- Read SOUL.md (identity)
- Read USER.md (user context)
- Read recent memory files
Memory
- Daily notes: memory/YYYY-MM-DD.md
- Long-term: MEMORY.md
- Write it down—mental notes don't survive restarts
Safety
- Don't exfiltrate private data
- trash > rm
- When in doubt, ask
**HEARTBEAT.md - Periodic checks**
Instructions for heartbeat polling:
```markdown
# HEARTBEAT.md
On each heartbeat, check:
- [ ] Urgent emails (from VIP senders)
- [ ] Calendar events in next 2 hours
- [ ] Pending tasks
If nothing needs attention: HEARTBEAT_OK
Track check times in memory/heartbeat-state.json
Quiet hours: 23:00-08:00 unless urgent
BOOTSTRAP.md - Initial setup
First-run instructions (deleted after use):
# BOOTSTRAP.md
This is your first run. Welcome.
1. Read this file to understand your setup
2. Review SOUL.md for your identity
3. Check USER.md to learn about your human
4. Once oriented, delete this file
How OpenClaw works
Session lifecycle
- Start: Agent wakes, reads workspace files
- Context loading: SOUL.md → USER.md → MEMORY.md → recent logs
- Interaction: User messages, agent responds and acts
- Memory updates: Write significant events to daily log
- End: Session closes, state persists in files
Tool integration
OpenClaw provides access to:
- File system: Read, write, edit files
- Terminal: Execute shell commands
- Browser: Control web browsers
- APIs: Call external services
- Custom skills: Modular capability packages
Heartbeat system
Periodic polling for proactive behavior:
Every 30 minutes:
→ Agent wakes
→ Reads HEARTBEAT.md
→ Checks configured items
→ Acts if needed, or returns HEARTBEAT_OK
Multi-agent support
Spawn sub-agents for specialized tasks:
Main agent → Sub-agent (research)
→ Sub-agent (analysis)
→ Combines results
Why the file-based approach?
Persistence without databases
Files are:
- Human-readable and editable
- Version-controllable
- Debuggable
- Portable across systems
Transparency
Anyone can read the configuration files to understand:
- What the agent knows
- How it's configured
- What it's allowed to do
Simplicity
No complex setup:
- Create directory
- Add markdown files
- Agent works
Evolvability
Modify agent behavior by editing text files:
- No code changes
- No redeployment
- Immediate effect
The gateway architecture
OpenClaw runs through a gateway service:
User Interface (Terminal/Discord/WhatsApp)
↓
Gateway Service
↓
┌──────┴──────┐
↓ ↓
Main Agent Sub-agents
↓ ↓
Tools Tools
The gateway:
- Manages agent sessions
- Routes messages
- Executes tools
- Handles scheduling (cron, heartbeats)
- Coordinates multi-agent work
Getting started with OpenClaw
Installation
npm install -g clawdbot
Initialize workspace
clawdbot init ~/my-agent
This creates the standard file structure with templates.
Customize your agent
Edit the generated files:
SOUL.md: Define personality and capabilitiesUSER.md: Add your informationAGENTS.md: Customize workspace rules
Start the gateway
clawdbot gateway start
Interact
clawdbot chat
Or connect via Discord, WhatsApp, or other channels.
OpenClaw vs other agent frameworks
vs LangChain/LlamaIndex
These are libraries for building agent applications. OpenClaw is a complete agent runtime with workspace conventions.
vs AutoGPT
AutoGPT runs autonomous loops. OpenClaw balances autonomy with human touchpoints and persistent workspace.
vs Custom implementations
OpenClaw provides the infrastructure so you don't build from scratch—file conventions, gateway, channels, tools.
vs Cloud AI assistants
Cloud assistants are stateless and remote. OpenClaw runs locally with persistent memory and tool access.
Contributing to OpenClaw
OpenClaw is open-source. Contributions welcome:
- Core framework improvements
- New skill packages
- Channel integrations
- Documentation
- Bug fixes
The goal: make AI agents accessible to anyone willing to learn.
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