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Openfang

Open-source Agent Operating System

Install

$git clone https://github.com/RightNow-AI/openfang

Install command taken from the project's README or registry entry. Always review code before running it.

OpenFang The Agent Operating System

Open-source Agent OS built in Rust. 137K LOC. 14 crates. 1,767+ tests. Zero clippy warnings. One binary. Battle-tested. Agents that actually work for you.

Documentation • Quick Start • Twitter / X


v0.5.10 (April 2026)

OpenFang is feature complete but still pre-1.0. Expect rough edges and breaking changes between minor versions. We ship fast and fix fast. Pin to a specific commit for production use until v1.0. Report issues here.


What is OpenFang?

OpenFang is an open-source Agent Operating System. Not a chatbot framework. Not a Python wrapper around an LLM. Not a "multi-agent orchestrator." A full operating system for autonomous agents, built from scratch in Rust.

Traditional agent frameworks wait for you to type something. OpenFang runs autonomous agents that work for you: on schedules, 24/7, building knowledge graphs, monitoring targets, generating leads, managing your social media, and reporting results to your dashboard.

The entire system compiles to a single ~32MB binary. One install, one command, your agents are live.

curl -fsSL https://openfang.sh/install | sh
openfang init
openfang start
# Dashboard live at http://localhost:4200

Windows

irm https://openfang.sh/install.ps1 | iex
openfang init
openfang start

Hands: Agents That Actually Do Things

"Traditional agents wait for you to type. Hands work for you."

Hands are OpenFang's core innovation. Pre-built autonomous capability packages that run independently, on schedules, without you having to prompt them. This is not a chatbot. This is an agent that wakes up at 6 AM, researches your competitors, builds a knowledge graph, scores the findings, and delivers a report to your Telegram before you've had coffee.

Each Hand bundles:

  • HAND.toml: manifest declaring tools, settings, requirements, and dashboard metrics.
  • System Prompt: multi-phase operational playbook. Not a one-liner. These are 500+ word expert procedures.
  • SKILL.md: domain expertise reference injected into context at runtime.
  • Guardrails: approval gates for sensitive actions (e.g. Browser Hand requires approval before any purchase).

All compiled into the binary. No downloading, no pip install, no Docker pull.

The 7 Bundled Hands

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