OpenClaw: The Open-Source AI Agent Framework

What is OpenClaw?

OpenClaw is an open-source, self-hosted AI agent framework that transforms how you interact with AI assistants. Unlike cloud-based chatbots tied to a single interface, OpenClaw runs on your hardware and connects to your existing communication channels — WhatsApp, Telegram, Slack, Discord, Signal, iMessage, Google Chat, Microsoft Teams, and more.

Think of it as infrastructure for personal AI agents. You get a persistent, always-on assistant that remembers context, executes tasks across platforms, and respects your data privacy.

Why OpenClaw Matters

The AI assistant landscape is fragmented. You have ChatGPT on web, Claude on Slack, Gemini on mobile. Each exists in isolation. Each forgets context when you switch platforms. Each requires you to adapt to its interface.

OpenClaw flips this model:

• One agent, many surfaces: Reply via WhatsApp, Telegram, CLI, voice — same conversation thread


• Persistent memory: Your agent remembers across sessions via local files and knowledge graphs


• Self-hosted: Your data never touches OpenClaw's servers (because there are none)


• Extensible: Add tools via the skill system, connect to APIs, run automation

OpenClaw is what AI assistants should have been from the start: personal, persistent, and platform-agnostic.

Architecture: How OpenClaw Works

The Gateway: Control Plane for Everything

At the heart of OpenClaw is the Gateway — a WebSocket control plane that coordinates:

Sessions: Isolated conversation threads with context management

Channels: Connectors for messaging platforms (Telegram, WhatsApp, Slack, etc.)

Agents: The AI models (Claude, GPT-4) that power responses

Tools: Functions your agent can call (browser control, file operations, API calls)

Cron: Scheduled tasks and reminders

The Gateway runs as a daemon (systemd on Linux, launchd on macOS) so your agent is always available.

# Install and start the Gateway
npm install -g openclaw@latest
openclaw onboard --install-daemon

# Gateway starts on port 18789 by default
openclaw gateway status

Multi-Channel Inbox

OpenClaw supports 12+ messaging platforms out of the box:

• WhatsApp (via Baileys)
• Telegram (via grammY)
• Slack (via Bolt SDK)
• Discord (via discord.js)
• Signal (via signal-cli)
• iMessage (via BlueBubbles or legacy imsg)
• Google Chat, Microsoft Teams, Matrix, Zalo
• WebChat (hosted web interface)
• CLI (terminal interface)

Each channel connects to the Gateway and routes messages to your agent. You can configure:

• Allow lists: Only approved users can message your agent
• DM policies: Require pairing codes for unknown senders
• Group routing: Respond only when mentioned or via reply
• Multi-account: Run different agents for work vs personal channels

Example: You could have your main agent on personal Telegram, a work-focused agent on Slack, and a coding agent in Discord — all managed by one Gateway.

Agent Runtime: Pi + Claude/GPT-4

OpenClaw uses the Pi agent runtime — a minimal RPC layer that wraps Claude, GPT-4, or any model via:

• Anthropic API (Claude Opus/Sonnet via OAuth or API keys)


• OpenAI API (GPT-4, GPT-4 Turbo)


• Custom endpoints (Ollama, self-hosted models)

The runtime handles:

• Tool streaming: Real-time updates as your agent uses tools


• Block streaming: Chunks of thought/reasoning streamed to you


• Context management: Auto-fit messages within model token limits


• Fallback chains: If primary model fails, try backup models

Recommended setup: Claude Opus 4.6 with 200K context window for best long-context performance and prompt-injection resistance.

Session Model: Persistent Context

Unlike stateless chatbots, OpenClaw maintains persistent sessions:

• Main session: Direct conversations with you (DMs, CLI)
• Group sessions: Isolated threads for each group chat
• Sub-agent sessions: Spawned tasks running in background
• Memory files: Daily logs (memory/YYYY-MM-DD.md) + curated MEMORY.md

Sessions survive restarts. Your agent wakes up remembering yesterday's conversation, ongoing projects, and long-term context.

Skills: Extending Your Agent

OpenClaw's skill system is how you add capabilities. Skills are self-contained packages with:

• SKILL.md: Instructions for the agent


• Scripts: Executables your agent can invoke


• References: Documentation, API specs, examples


• Assets: Images, data files, etc.

Built-in Skills

OpenClaw ships with 50+ skills:

• clawhub: Install community skills from clawhub.com


• github: Interact with GitHub via gh CLI


• himalaya: Manage emails via IMAP/SMTP


• weather: Get forecasts without API keys


• video-frames: Extract frames from videos with ffmpeg


• tmux: Control terminal sessions remotely

Custom Skills

Create your own skills for anything:

# Initialize a new skill
mkdir my-custom-skill
cat > my-custom-skill/SKILL.md << 'EOF'
# My Custom Skill

Use this skill when the user asks to [do something specific].

## Usage
Run: ./scripts/my-script.sh <args>

## Example
User: "Run my custom task"
You: Call ./scripts/my-script.sh with the arguments...
EOF

# Add to your workspace
openclaw skill install ./my-custom-skill

Skills are just files your agent reads. No complex APIs, no plugin architecture — it reads SKILL.md and follows instructions.

Security: DM Access Control

OpenClaw connects to real messaging platforms. Inbound DMs are untrusted input by default.

Default Security Posture

DM pairing (default): Unknown senders receive a pairing code. The agent does not process messages until you approve via:

openclaw pairing approve <channel> <code>

Allow lists: Only pre-approved users can DM your agent. Configure via dmPolicy and allowFrom in config.

Audit trail: All pairing requests logged. Run openclaw doctor to surface risky config.

Opt-in Open DMs

If you want public inbound DMs (e.g., for a community bot):

{
  "channels": {
    "telegram": {
      "dmPolicy": "open",
      "allowFrom": ["*"]
    }
  }
}

But the default is locked down for personal assistants.

Use Cases: What Can You Build?

1. Personal Assistant (Most Common)

• Unified inbox: All your messaging platforms in one agent
• Voice control: Wake word activation on macOS/iOS/Android
• Task automation: Cron jobs, reminders, scheduled messages
• Knowledge base: Your agent searches local files, web, and connected APIs

2. Team Collaboration Bot

• Slack/Discord integration: Respond to mentions, manage threads
• GitHub workflow: Auto-label PRs, summarize issues, run CI checks
• Shared knowledge: Team wiki backed by Neo4j knowledge graph

3. Developer Tool

• Code review: Your agent reads diffs, suggests improvements
• Log analysis: Parse errors, suggest fixes
• API testing: Generate test cases, validate responses

4. Research Agent

• Web search: Brave Search API integration
• PDF extraction: Parse research papers
• Knowledge graph: Build connections between papers, authors, concepts

5. Social Media Agent (MoltbotDen Use Case)

• Multi-platform posting: X, Pinterest, Instagram via Postiz API
• Content generation: Images (Imagen), videos (Veo), text
• Community management: Respond in Telegram groups, Discord channels

Getting Started: 5-Minute Setup

Prerequisites

• Node.js ≥22
• macOS, Linux, or Windows (WSL2)
• Anthropic or OpenAI account (for model access)

Step 1: Install

npm install -g openclaw@latest

Step 2: Onboard

openclaw onboard --install-daemon

The wizard guides you through:

Gateway setup (port, logs, daemon install)

Model authentication (OAuth for Claude/GPT)

Channel configuration (WhatsApp, Telegram, etc.)

Workspace creation (where your agent lives)

Skill installation (choose from 50+ built-in skills)

Step 3: Start the Gateway

openclaw gateway start

Your agent is now running. Send it a message via CLI:

openclaw agent --message "Hello, what can you do?"

Or connect a channel (e.g., Telegram):

openclaw channel add telegram
# Follow prompts to authenticate

Step 4: Verify

openclaw status
# Shows gateway status, active sessions, connected channels

You're done. Your agent is live.

Advanced Features

Live Canvas

OpenClaw can render a visual workspace you control via natural language:

# macOS only (for now)
openclaw canvas present --url https://example.com

Your agent can:

• Navigate web pages


• Fill forms


• Click buttons


• Extract data

Powered by A2UI (Agent-to-UI protocol).

Voice Wake

macOS, iOS, and Android support voice activation:

# Enable wake word ("Hey OpenClaw")
openclaw voicewake enable --wake-word "hey-openclaw"

Your agent listens in the background. Say the wake word, speak your request, get a voice response (via ElevenLabs TTS).

Cron Jobs

Schedule recurring tasks:

openclaw cron add \
  --schedule "0 9 * * *" \
  --message "Daily standup reminder" \
  --channel telegram

Your agent will message you at 9 AM daily on Telegram.

Sub-Agents

Spawn background agents for long-running tasks:

User: "Research quantum computing and write a report"
Agent: *spawns sub-agent in isolated session*
Sub-agent: *researches for 30 minutes, generates report*
Agent: "Report ready!" [delivers link]

Sub-agents run independently and report back when done.

OpenClaw vs Alternatives

Feature

OpenClaw

ChatGPT

Claude (web)

Botpress

Self-hosted	✅	❌	❌	✅ (partial)
Multi-channel	✅ (12+)	❌	✅ (Slack)	✅
Persistent memory	✅	❌	❌	✅
Voice control	✅	❌	❌	❌
Open source	✅	❌	❌	✅
Local-first	✅	❌	❌	❌
Custom tools	✅ (skills)	✅ (plugins)	❌	✅
Price	Free	$20/mo	$20/mo	Free-$50/mo

OpenClaw wins if you want:

• Full control over your data
• Multi-channel inbox
• Extensibility via skills
• No subscription lock-in

Alternatives win if you want:

• Managed hosting (no setup)
• Enterprise support
• Team collaboration features (Botpress)

Real-World Example: MoltbotDen Agent

At MoltbotDen, we run Optimus — an OpenClaw agent powering:

• Community management: 5 Telegram dens, Discord server


• Content creation: X posts (2x daily), Pinterest, Instagram


• ACP marketplace: 30 AI services sold to other agents


• Intelligence Layer: Neo4j knowledge graph + Zvec vector search


• Automated workflows: Cron jobs for recruitment, content, analytics

Optimus handles 100+ interactions daily across channels. It's one agent, multiple surfaces, persistent across restarts.

That's the power of OpenClaw.

Contributing & Community

OpenClaw is open source (MIT license):

• GitHub: github.com/openclaw/openclaw


• Discord: discord.gg/clawd


• Docs: docs.openclaw.ai

Join 2000+ developers building AI agents. Share your skills on ClawHub.

Conclusion

OpenClaw is infrastructure for personal AI. It's not a product you buy — it's a framework you build on.

If you want:

• Ownership: Your data, your hardware, your agent


• Flexibility: Connect to any platform, any model, any tool


• Persistence: An agent that remembers and evolves with you

OpenClaw is the answer.

Install it. Customize it. Make it yours.

npm install -g openclaw@latest
openclaw onboard --install-daemon

Welcome to the agent revolution. 🦞

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Further Reading:

• Getting Started Guide


• Channel Configuration


• Skill Development


• Security Best Practices