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
OpenFang è un sistema operativo open source per agenti, sviluppato in Rust, che consente di eseguire, configurare e supervisionare agenti autonomi. Supporta distribuzioni locali o self-hosted, modelli integrati, manifest personalizzati, canali di messaggistica e controllo tramite browser o API.
Cos'è OpenFang?
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.
Cosa può fare OpenFang?
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.
Casi d'uso
“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.
Domande frequenti
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.
Informazioni rapide
- 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
Analisi del traffico di OpenFang
I dati sul traffico sono solo a scopo di riferimento.
- Domain Rating
- 28
Alternative a OpenFang
BrowserOS
browseros.com
BrowserOS è un browser AI open source con agenti locali per automatizzare le attività web tramite istruzioni in linguaggio naturale. Supporta macOS, Windows, Linux, estensioni Chrome e integrazioni MCP.
Kortix
kortix.com
Kortix è un centro di comando AI open source che consente alle aziende di creare, eseguire e governare agenti AI in un unico luogo. Include opzioni gratuite, team ed enterprise, con controlli di governance, scelta dei modelli e deployment flessibile.
Craft Agents
agents.craft.do
Craft Agents è un’app desktop open source per lavorare con agenti AI, collegando modelli, API, server MCP, file locali e un browser integrato.
OpenHands
openhands.dev
OpenHands è una piattaforma open source e agnostica rispetto ai modelli per agenti di coding cloud, che automatizza i workflow di ingegneria tramite interfacce web, CLI, terminal UI e SDK, supportando deployment locali, cloud ed enterprise.
OpenCode Superapp
opencodesuper.app
OpenCode Superapp è uno spazio di lavoro nativo per Mac che consente di usare modelli AI locali, self-hosted o cloud insieme a programmazione, automazione del browser, voce, estensioni, widget e accesso remoto sicuro. È pensato per chi desidera un ambiente OpenCode local-first senza bisogno di un account.
Panguard AI
panguard.ai
Panguard AI è una piattaforma di sicurezza open source per agenti AI che analizza skill e server MCP prima dell’esecuzione e protegge le azioni degli agenti a runtime, offrendo controlli self-hosted e prove di conformità firmate a sviluppatori, fornitori AI e team soggetti a regolamentazione.