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OpenFang is an open-source Agent Operating System built in Rust that lets you deploy secure, autonomous AI agents across dozens of channels from a single binary. With 7 pre-built Hands, 30 agents, 40 channels, and 38 tools, it provides a kernel-grade foundation for serious agent orchestration without sacrificing performance or safety.
Designed for production environments, OpenFang ships with 16 discrete security systems, including a WASM dual-metered sandbox, Ed25519 manifest signing, Merkle audit trails, taint tracking, SSRF protection, and strict subprocess isolation. Tool code executes inside a sandboxed runtime with workspace-confined file access, env-cleared subprocesses, enforced timeouts, and a 10-phase graceful shutdown.
Developers can plug into SQLite-backed vector memory, Model Context Protocol (client and server), Google A2A, and the OpenFang Protocol for authenticated P2P agent networking. Persistent memory, cross-channel sessions, and automatic LLM-based compaction ensure agents retain context across Telegram, Discord, Slack, WhatsApp, Matrix, and many more adapters.
Use the built-in Hands like Clip for video repurposing, Lead for qualified lead generation, Collector for target monitoring, Predictor for Brier-scored forecasting, Researcher for CRAAP-based fact-checking, Twitter for X account management, and Browser for web automation. A Tauri 2.0 native desktop app delivers a full dashboard with system tray integration, notifications, and global shortcuts, making it easy to monitor and control complex autonomous workflows.
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