Features
Self-improving agents that evaluate and correct responses
Multi-agent orchestration: AgentTeam, AgentFlow, AgentOS
AgentClaw dashboard for visual management
One-line install via curl, pip, pipx, uvx
100+ LLM providers (OpenAI, Anthropic, Google, Ollama, Groq)
140+ built-in tools (web search, file ops, APIs, databases)
Persistent memory and RAG knowledge injection
A2A protocol and MCP server for enterprise integration
Docker and cloud deployment support
Telegram, Discord, Slack, WhatsApp bot integration
Low-code setup in 5 lines of Python
Agent spawning and cloning for self-organization
Browser automation via CLI
Sandbox for secure code execution
Plugin and skill management system
@ai_fn decorator for LLM-powered Python functions
@ai_classifier decorator for text classification
Structured data extraction via Pydantic models
Agent loops with tool calling and function calling
Built-in streaming (SSE) support
Async-first API for concurrent applications
Rate limiting and automatic retries
LLM response caching for performance
Concurrency control for workload management
CLI tool for monitoring and debugging
SQLite state store for persistence
OpenAI and Anthropic model support
Embeddings generation for semantic search
Local execution with no cloud dependency
Self-hosted deployable as a library
