OpenFang is a production-grade, open-source Agent Operating System built in Rust, designed to run autonomous agents 24/7. It targets users needing agents for complex, continuous tasks like market analysis, lead generation, and content management, offering a robust, single-binary solution distinct from chatbot frameworks.

How It Works

Built entirely in Rust and compiling to a single ~32MB binary, OpenFang's core innovation is "Hands"—pre-built, autonomous capability packages. These Hands execute independently on schedules, performing multi-phase operational playbooks defined by system prompts and skill references, rather than waiting for user input. This architecture allows for deep automation, integrating diverse tools and LLMs for tasks like video clipping, lead enrichment, OSINT, and predictive analysis.

Quick Start & Requirements

Installation is streamlined via a shell script (curl -fsSL https://openfang.sh/install | sh for Linux/macOS, irm https://openfang.sh/install.ps1 | iex for Windows). Initialization (openfang init) configures LLM providers, followed by starting the daemon (openfang start). A local dashboard is available at http://localhost:4200. No specific hardware or non-standard software prerequisites are detailed. Official documentation and a quick start guide are linked.

Highlighted Details

• Performance: Demonstrates significantly lower cold start times (~180ms) and idle memory usage (~40MB) compared to popular Python-based frameworks like AutoGen and LangGraph.
• Security: Implements a comprehensive "defense in depth" strategy with 16 distinct security systems, including WASM sandboxing, Merkle hash-chain audit trails, taint tracking, and capability gates.
• Connectivity & LLMs: Features 40 channel adapters for broad platform integration and supports 27 LLM providers with intelligent routing and cost management.
• Migration & API: Offers a migration engine for OpenClaw users and an OpenAI-compatible API for seamless integration with existing tools.

Maintenance & Community

Developed by RightNow AI, OpenFang had its first public release (v0.1.0) in February 2026. The project emphasizes rapid development cycles ("ship fast and fix fast"). Key resources include official documentation, a GitHub repository, and a Twitter/X presence.

Licensing & Compatibility

The project is licensed under MIT, permitting unrestricted use, modification, and distribution, including for commercial purposes.

Limitations & Caveats

As a v0.1.0 release, users should anticipate potential instability, rough edges, and breaking changes between minor versions until v1.0. Pinning to specific commits is advised for production deployments. The maturity of individual "Hands" may vary.