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CLAW — Universal Autonomous AI Agent Runtime One binary. Any device. Fully autonomous. Claw is an open-source AI agent runtime written in Rust that runs on Linux, macOS, Windows, Android, and iOS. A single ~7MB binary that turns any device into an autonomous AI agent with real tool execution, persistent memory, and multi-agent mesh networking. What Claw Does: Executes real shell commands, manages files, controls browsers, and automates Android/iOS devices Thinks, plans, and acts autonomously with 5 configurable autonomy levels (L0 manual → L4 full auto) Remembers everything across sessions with 3-tier memory (working, episodic, semantic with vector search) Connects to Telegram, Discord, and web chat — talk to your agent from anywhere Forms mesh swarms — multiple Claw agents discover each other via mDNS and delegate tasks to the best device 83 Built-in Tools: Shell execution, file operations, code patching, process management, PTY terminals, browser automation (CDP), Android control (ADB), iOS simulator, web search, HTTP fetching, memory CRUD, goal planning, cron scheduling, sub-agent spawning, mesh delegation, and secondary LLM generation. Task Delegation & Multi-Agent Mesh: Claw agents form peer-to-peer networks using libp2p. Each agent advertises its capabilities (shell, browser, camera, etc.) and can delegate tasks to the most capable peer. Need a browser task but you're on a headless server? Claw routes it to a peer that has one. Autonomy & Safety: 5 autonomy levels from fully manual to fully self-directed Guardrails: risk assessment, destructive action blocking, network exfiltration prevention Daily USD budget caps with per-tool-call tracking Human-in-the-loop approval via API, web UI, Telegram, or CLI Full audit log with checksums Goal Planning & Self-Learning: Creates multi-step goals, decomposes them, executes step-by-step, and self-reflects. Automatically extracts lessons from error→correction→success patterns and recalls them in future sessions.