> ## Documentation Index > Fetch the complete documentation index at: https://mintlify.com/RightNow-AI/openfang/llms.txt > Use this file to discover all available pages before exploring further. # Introduction > OpenFang is an open-source Agent Operating System built in Rust — not a chatbot framework, not a Python wrapper around an LLM, not a "multi-agent orchestrator." It is a full operating system for autonomous agents. OpenFang Logo # The Agent Operating System OpenFang is an **open-source Agent Operating System** — not a chatbot framework, not a Python wrapper around an LLM, not a "multi-agent orchestrator." It is a full operating system for autonomous agents, built from scratch in Rust. Traditional agent frameworks wait for you to type something. OpenFang runs **autonomous agents that work for you** — on schedules, 24/7, building knowledge graphs, monitoring targets, generating leads, managing your social media, and reporting results to your dashboard. The entire system compiles to a **single \~32MB binary**. One install, one command, your agents are live. Get up and running in 5 minutes Understand how OpenFang works Explore the full REST API Pre-built capability packages ## Installation ```bash macOS/Linux theme={null} curl -fsSL https://openfang.sh/install | sh openfang init openfang start ``` ```powershell Windows theme={null} irm https://openfang.sh/install.ps1 | iex openfang init openfang start ``` Dashboard live at `http://localhost:4200` ## Key Features 7 pre-built capability packages that run independently on schedules — Clip, Lead, Collector, Predictor, Researcher, Twitter, Browser WASM sandbox, Merkle audit trail, SSRF protection, capability-based access control, and 12 more security systems Connect agents to Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Email, and 33 more platforms 123+ models with intelligent routing — Anthropic, OpenAI, Gemini, DeepSeek, Groq, Ollama, and more Model Context Protocol client/server and Agent-to-Agent protocol for inter-system communication \~32MB binary with zero dependencies — builds in Rust, runs anywhere ## Performance Benchmarks All data from official documentation and public repositories — February 2026. ### Cold Start Time * **OpenFang**: 180 ms ⭐ * ZeroClaw: 10 ms * LangGraph: 2.5 sec * CrewAI: 3.0 sec * AutoGen: 4.0 sec * OpenClaw: 5.98 sec ### Idle Memory Usage * **OpenFang**: 40 MB ⭐ * ZeroClaw: 5 MB * LangGraph: 180 MB * CrewAI: 200 MB * AutoGen: 250 MB * OpenClaw: 394 MB ### Install Size * **OpenFang**: 32 MB ⭐ * ZeroClaw: 8.8 MB * CrewAI: 100 MB * LangGraph: 150 MB * AutoGen: 200 MB * OpenClaw: 500 MB ## Architecture Overview OpenFang is organized as a Cargo workspace with 14 crates: ``` openfang-cli CLI interface, daemon auto-detect, MCP server openfang-desktop Tauri 2.0 desktop app (WebView + system tray) openfang-api REST/WS/SSE API server (Axum), 140+ endpoints openfang-kernel Kernel: assembles all subsystems, workflow engine, RBAC openfang-runtime Agent loop, 3 LLM drivers, 53 tools, WASM sandbox openfang-channels 40 channel adapters, bridge, formatter openfang-wire OFP peer-to-peer networking with HMAC-SHA256 auth openfang-memory SQLite memory substrate, sessions, semantic search openfang-skills 60 bundled skills, FangHub marketplace openfang-hands 7 autonomous Hands, HAND.toml parser openfang-extensions 25 MCP templates, AES-256-GCM credential vault openfang-migrate Migration engine (OpenClaw, LangChain, AutoGPT) openfang-types Core types, taint tracking, manifest signing xtask Build automation ``` ## What Makes OpenFang Different? ### Autonomous Hands **Hands** are OpenFang's core innovation — pre-built autonomous capability packages that run independently, on schedules, without you having to prompt them. Each Hand bundles: * **HAND.toml** — Manifest declaring tools, settings, requirements, and dashboard metrics * **System Prompt** — Multi-phase operational playbook (500+ word expert procedures) * **SKILL.md** — Domain expertise reference injected into context at runtime * **Guardrails** — Approval gates for sensitive actions All compiled into the binary. No downloading, no pip install, no Docker pull. ### 16 Security Systems OpenFang doesn't bolt security on after the fact. Every layer is independently testable and operates without a single point of failure: 1. **WASM Dual-Metered Sandbox** — Tool code runs in WebAssembly with fuel metering + epoch interruption 2. **Merkle Hash-Chain Audit Trail** — Every action is cryptographically linked to the previous one 3. **Information Flow Taint Tracking** — Labels propagate through execution 4. **Ed25519 Signed Agent Manifests** — Every agent identity is cryptographically signed 5. **SSRF Protection** — Blocks private IPs, cloud metadata endpoints, DNS rebinding 6. **Secret Zeroization** — API keys auto-wipe from memory 7. **OFP Mutual Authentication** — HMAC-SHA256 nonce-based auth 8. **Capability Gates** — Role-based access control 9. **Security Headers** — CSP, X-Frame-Options, HSTS on every response 10. **Health Endpoint Redaction** — Full diagnostics require authentication 11. **Subprocess Sandbox** — `env_clear()` + selective variable passthrough 12. **Prompt Injection Scanner** — Detects override attempts in skills 13. **Loop Guard** — SHA256-based tool call loop detection 14. **Session Repair** — 7-phase message history validation 15. **Path Traversal Prevention** — Canonicalization with symlink escape prevention 16. **GCRA Rate Limiter** — Cost-aware token bucket rate limiting ## Community & Support Star the repository Join the community Follow updates ## Next Steps Install OpenFang and spawn your first agent Learn how the system works Explore the 7 built-in Hands Configure models, channels, and security ## License OpenFang is open source under the Apache 2.0 and MIT licenses. Use it however you want. **v0.1.0 — First Release (February 2026)** OpenFang is feature-complete but this is the first public release. You may encounter instability, rough edges, or breaking changes between minor versions. Pin to a specific commit for production use until v1.0.