One-binary runtime and desktop app
OpenFang ships as a Rust workspace with a single compiled binary, plus a native desktop app and a daemon for persistent operation.
OpenFang
Freemium
OpenFang은 Rust로 구축된 오픈 소스 에이전트 운영체제입니다. 자율 에이전트의 실행, 구성, 감독을 지원하며 로컬 또는 셀프 호스팅 배포, 기본 제공 템플릿, 사용자 지정 매니페스트, 메시징 채널, 브라우저 또는 API 제어 기능을 제공합니다.
OpenFang란 무엇인가요?
OpenFang is an open-source Agent OS built in Rust for installing, configuring, and operating autonomous agents. The public docs position it as a runtime for hands, agents, tools, security, memory, channels, protocols, and a native desktop app, with a daemon for persistent and multi-user use.
It is aimed at people who want to run agents locally or self-host them, choose an LLM provider, attach messaging channels, and manage workflows from templates or custom manifests. The docs also show support for browser-based chat, API access, MCP, A2A, and a native desktop application.
OpenFang(으)로 무엇을 할 수 있나요?
Pre-built autonomous Hands
The product includes 7 pre-built autonomous Hands such as Clip, Lead, Collector, Predictor, Researcher, Twitter, and Browser, each meant for a specific workflow.
Security hardening stack
The docs describe 16 security systems including WASM dual metering, manifest signing, audit trails, taint tracking, SSRF protection, secret zeroization, mutual auth, and prompt-injection scanning.
Channel, model, and skill integration
OpenFang supports 40 messaging channel adapters, 20 LLM providers, and 60 bundled skills, with additional agent templates and workflow composition.
Multiple deployment and setup paths
The getting started guide shows installation via shell script, Cargo, or Docker, then configuration through `config.toml` and environment variables.
API and protocol support
The docs expose REST, WebSocket, and SSE endpoints, plus an OpenAI-compatible `/v1/chat/completions` API for external integration.
사용 사례
“Start with a pre-built agent”
Install OpenFang, set an API key, run `openfang init`, and spawn a built-in template such as `hello-world` to get a working agent running quickly.
“Define custom agents”
Create a custom `agent.toml` with a chosen provider, model, and capability set when you want an agent tailored to a specific task or workflow.
“Operate agents continuously”
Run `openfang start` to expose the REST API, WebSocket endpoint, WebChat UI, and persistent daemon behavior for ongoing use.
“Attach external systems”
Connect messaging platforms, MCP servers, or A2A integrations when you need agents to interact with external tools and channels.
“Manage agents interactively”
Use the native desktop app or browser chat interface when you want a local UI for monitoring running agents, reading responses, and checking token usage.
자주 묻는 질문
How do I install OpenFang?
OpenFang’s getting started guide shows three installation paths: a shell installer for Linux and macOS, `cargo install` for any platform with Rust 1.75+, and Docker.
What do I need to configure before running agents?
The docs say OpenFang needs at least one LLM provider API key. It supports environment variables such as `ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, and `GROQ_API_KEY`.
Can I use OpenFang with built-in templates or custom agents?
The getting started guide shows both built-in agent templates and custom `agent.toml` manifests. You can spawn a template agent or define your own model and capability settings.
What does the daemon add beyond the CLI?
The daemon supports persistent agents, multi-user access, the WebChat UI, REST API, WebSocket access, and token usage visibility in the browser UI.
What are OpenFang’s main limitations from the public docs?
The architecture and docs pages describe OpenFang as a Rust workspace with sandboxing, security hardening, channel adapters, skills, MCP, and A2A support. The public docs do not provide a complete list of every supported provider or integration detail on the pages used here.
주요 정보
- Category
- Developer Tool
- Product type
- Open-source agent operating system
- Platform
- Linux, macOS, Windows
- Source domain
- openfang.sh
- Primary users
- Developers and teams self-hosting agent workflows
- Deployment
- CLI, daemon, native desktop app, Docker
OpenFang 트래픽 분석
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