OpenClaw API Documentation Center

Complete Integration Guide for Open Source AI Assistants

Comprehensive interface documentation to help you quickly integrate with Claude, OpenAI, Telegram, Discord, and 50+ platforms. Build powerful AI assistant applications

# Install OpenClaw
npm install -g openclaw

# Configure your API keys
openclaw configure

# Start your AI assistant
openclaw start
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Integrated APIs

Why Choose OpenClaw API

Powerful features with simple integration

Multi-Model Support

Support for mainstream AI model interfaces including Anthropic Claude, OpenAI, and Google Gemini

Cross-Platform Access

One-click integration with 20+ communication platforms like Telegram, Discord, Slack, WhatsApp

Local-First Architecture

Full control of your data with private deployment and Docker isolation support

Multimodal Interaction

Advanced feature interfaces including voice calls, real-time Canvas, and browser control

Extensible System

Plugin-like skill extensions with support for scheduled tasks and Webhooks interfaces

Open Source & Free

Fully open source, community-driven, and continuously maintained

OpenClaw API Core Architecture & Technical Specs

OpenClaw adopts a modular architecture, orchestrating various LLMs, communication channels, and service tools through standardized interfaces. The goal is to ensure high availability, security, and scalability for every integration layer.

Multi-Model Drive Engine

The core engine supports native drivers for Anthropic Claude, OpenAI GPT, and Google Gemini. Utilizing the latest Function Calling technology, agents can autonomously determine when to call external tools via the OpenClaw API for complex tasks.

Distributed Communication Gateway

The high-performance WebSocket-based Gateway ensures millisecond-level message synchronization between different terminals. Securely push external events like Gmail alerts to the system via unified token authentication.

Enterprise-Grade Security

Credential security is critical. OpenClaw mandates the use of Environment Variables or encrypted JSON5 config files. The built-in `openclaw doctor` tool provides real-time risk scanning for your production environment.

OpenClaw API In-depth Integration Ecosystem

Standardized API interfaces connecting everything

Through a deeply integrated API ecosystem, OpenClaw is more than just a chatbot—it's an all-in-one digital assistant. Optimized configuration schemes are provided for different providers to ensure stability and feature completeness.

Mainstream LLM Providers

The system features deep adaptation for Claude 3.5 Sonnet's long context and GPT-4o's multimodal understanding. Also supports Ollama for local models, enabling zero-cost switching with unified interface specs.

Omnichannel Connectivity

Whether on Telegram or enterprise apps like Feishu, OpenClaw provides a consistent experience. Optimized Webhook protocols support rich media and file transfers, making AI assistants ubiquitous.

Enhanced Skill Sets

Integrated Brave Search for real-time web access and the Firecrawl plugin for deep web scraping. Additionally, via OpenClaw API access to Notion, agents can directly manage your notes and task lists.

Quick Start Integration

Complete configuration in 3 steps, build your first AI assistant in 5 minutes

OpenClaw offers an extremely streamlined installation and configuration process. Whether you're a developer experimenting locally or a team preparing for large-scale production deployment, CLI tools help you finish the integration in minutes.

01

Install OpenClaw

Quick installation via npm or Docker

npm install -g openclaw
02

Configure API

Set up API keys and environment variables

openclaw configure
03

Start Service

Run the service and launch your first AI assistant

openclaw start

Use Cases

What OpenClaw can do for you

👤

Personal AI Assistant

Chat with your private AI anytime via Telegram or WhatsApp

👥

Team Collaboration Tool

Integrate AI in Slack or Discord to boost team efficiency

⚙️

Automated Workflows

Achieve intelligent automation using Webhooks and scheduled task interfaces

Latest Articles

Tutorials and best practices

OpenClaw API FAQ & Technical Support

Quick answers to your configuration and development questions

The system perfectly supports the Ollama framework, allowing you to run models like Llama 3 or Qwen locally. Simply specify the Ollama Base URL in your configuration for fully offline AI processing.
Configure sensitive information via environment variables. The system never logs Keys in plaintext and supports deployment via Docker secret management for enhanced security.
This is the system's internal communication hub for handling cross-device connections. Authenticated via tokens, it allows you to build distributed AI systems.
OpenClaw provides a plugin-based skill extension mechanism. Developers can add new tools by defining standard API calling logic. All skills follow standard OpenAPI specifications.

Ready to Get Started?

Join thousands of developers building your own AI assistant