OpenClaw
Open-source personal AI assistant that runs on your machine with persistent memory, multi-platform messaging, and full system automation capabilities.
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Product Overview
What is OpenClaw?
OpenClaw is an open-source agent framework that transforms any machine into a fully autonomous personal assistant. Unlike cloud-based competitors, OpenClaw operates on your hardware—Mac, Windows, or Linux—giving you complete control over data privacy and system access. The platform integrates seamlessly with popular messaging apps including WhatsApp, Telegram, Discord, Slack, Signal, and iMessage, allowing you to interact with your AI assistant from anywhere. Built with persistent memory architecture, OpenClaw learns your preferences, work patterns, and context to become increasingly personalized over time. It supports major language models from Anthropic, OpenAI, and alternatives, with flexible deployment options from local-only setups to multi-agent cloud routing. The framework enables sophisticated task automation through Skills—user-defined workflows that handle everything from email management and scheduling to complex browser automation and system-level operations.
Key Features
Local-First Architecture
Runs entirely on your own machine with complete infrastructure control. Your data stays private by default without reliance on external cloud services, enabling full system access for automation.
Multi-Channel Messaging Integration
Connect across WhatsApp, Telegram, Discord, Slack, iMessage, Signal, and 10+ other platforms. Manage your assistant through any chat app supporting DMs and group messaging.
Persistent Contextual Memory
Continuously learns your preferences, schedule, communication patterns, and work context. Maintains conversation continuity across sessions and proactively adapts behavior based on accumulated knowledge.
Full Browser & System Control
Automate web interactions including form filling, data extraction, and complex browsing workflows. Execute shell commands, read/write files, and control system operations with granular permission controls.
Extensible Skills Framework
Create custom workflows through SKILL.md files that package instructions, scripts, and resources. Build community-shared skills or have the assistant self-generate capabilities based on conversational requests.
Model-Agnostic Design
Supports Claude, GPT-4, local models via Ollama, MiniMax, and other LLM providers. Route requests across different models based on task complexity and cost optimization with multi-agent routing.
Use Cases
- Personal Task Automation : Automate routine workflows including email management, calendar coordination, appointment scheduling, and notification handling through natural conversation without manual intervention.
- Information Retrieval & Monitoring : Set up background monitoring for emails, news sources, and web content. Receive curated summaries and alerts for important information matching your specified criteria.
- Development & Technical Work : Integrate with coding environments, run tests autonomously, capture and resolve errors through CI/CD webhooks, and manage code repositories via conversational commands.
- Data Processing & Analysis : Extract data from websites, process documents, transform information across applications, and generate reports through browser control and system access capabilities.
- Business Process Automation : Handle repetitive business operations including document management, form submission, compliance checking, and cross-application data synchronization at scale.
- Creative & Content Work : Generate custom meditations, build personalized content pipelines, manage multiple creative projects, and coordinate complex production workflows through integrated skill automation.
FAQs
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