OpenFang is an operating system for LLM agents designed to orchestrate autonomous agents with built-in task scheduling, tool sandboxing, and multi-model routing. It provides a secure AI execution environment that integrates prompt injection scanning, cryptographic audit trails, and resource metering to ensure controlled processing.
The platform distinguishes itself through a comprehensive security architecture, featuring fuel-metered tool sandboxing and an immutable activity audit trail based on cryptographic hash-chains. It implements high-assurance identity verification via signed manifests and tracks the flow of sensitive data using label-based secret propagation.
The system covers a wide range of automation capabilities, including an automated web workflow engine with session persistence and an omnichannel messaging framework for routing interactions across social and enterprise platforms. It further includes tools for automated lead generation, intelligence research, and the repurposing of long-form video into short-form content.
The system exposes REST, WebSocket, and SSE endpoints through an OpenAI-compatible API.
