openfang

Name: RightNow-AI/openfang
Author: RightNow-AI

Open-source Agent Operating System

18.2k estrellas
2.3k forks
128 issues abiertos
Lenguaje: Rust
Licencia: Apache-2.0
actualizado 3mo ago

Instalación

Terminal

git clone https://github.com/RightNow-AI/openfang && cp openfang/*.md ~/.claude/agents/

Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
Start a new Claude Code session to load the agents.
Delegate work to them with the Task/Agent tool or by name.

Nota editorial

de 2026-06-10

OpenFang is an open-source agent operating system written in Rust that runs autonomous AI agents on schedules without requiring user prompts. The system ships as a single 32MB binary containing seven pre-built capability packages called Hands, each handling a distinct domain: Researcher uses CRAAP criteria to evaluate source credibility and generate cited reports, Predictor builds calibrated forecasts with Brier score tracking and a contrarian reasoning mode, Collector performs continuous OSINT-style monitoring with knowledge graph construction, Lead generates and scores sales prospects against an ideal customer profile, Clip processes YouTube videos into vertical short-form content using FFmpeg and yt-dlp, Twitter manages posting schedules and mention responses with an approval queue, and Browser automates web workflows with a mandatory purchase confirmation gate. OpenFang integrates with Claude through the MCP protocol and exposes a local dashboard at port 4200. The 137,000-line codebase spans 14 crates with over 2,600 passing tests. Developers, solo operators, and small teams who need recurring autonomous workflows rather than interactive chat assistants are the primary audience.

Items instalables

24 items en este repositorio

ansibleSkill

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azureSkill

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browser-automationSkill

Playwright-based browser automation patterns for autonomous web interaction

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ci-cdSkill

CI/CD pipeline expert for GitHub Actions, GitLab CI, Jenkins, and deployment automation

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clip-hand-skillSkill

Expert knowledge for AI video clipping — yt-dlp downloading, whisper transcription, SRT generation, and ffmpeg processing

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code-reviewerSkill

Code review specialist focused on patterns, bugs, security, and performance

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collector-hand-skillSkill

Expert knowledge for AI intelligence collection — OSINT methodology, entity extraction, knowledge graphs, change detection, and sentiment analysis

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complianceSkill

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README

Resumen de Subagents

README completo en GitHub

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

Hand	What It Actually Does
Clip	Takes a YouTube URL, downloads it, identifies the best moments, cuts them into vertical shorts with captions and thumbnails, optionally adds AI voice-over, and publishes to Telegram and WhatsApp. 8-phase pipeline. FFmpeg + yt-dlp + 5 STT backends.
Lead	Runs daily. Discovers prospects matching your ICP, enriches them with web research, scores 0-100, deduplicates against your existing database, and delivers qualified leads in CSV/JSON/Markdown. Builds ICP profiles over time.
Collector	OSINT grade intelligence. You give it a target (company, person, topic). It monitors continuously: change detection, sentiment tracking, knowledge graph construction, and critical alerts when something important shifts.
Predictor	Superforecasting engine. Collects signals from multiple sources, builds calibrated reasoning chains, makes predictions with confidence intervals, and tracks its own accuracy using Brier scores. Has a contrarian mode that deliberately argues against consensus.
Researcher	Deep autonomous researcher. Cross-references multiple sources, evaluates credibility using CRAAP criteria (Currency, Relevance, Authority, Accuracy, Purpose), generates cited reports with APA formatting, supports multiple languages.
Twitter	Autonomous Twitter/X account manager. Creates content in 7 rotating formats, schedules posts for optimal engagement, responds to mentions, tracks performance metrics. Has an approval queue, so nothing posts without your OK.
Browser	Web automation agent. Navigates sites, fills forms, clicks buttons, handles multi-step workflows. Uses Playwright bridge with session persistence. Mandatory purchase approval gate: it will never spend your money without explicit confirmation.

# Activate the Researcher Hand. It starts working immediately.
openfang hand activate researcher

# Check its progress anytime
openfang hand status researcher

# Activate lead generation on a daily schedule
openfang hand activate lead

# Pause without losing state
openfang hand pause lead

# See all available Hands
openfang hand list

Build your own. Define a HAND.toml with tools, settings, and a system prompt. Publish to FangHub.

OpenFang vs The Landscape

Benchmarks: Measured, Not Marketed

All data from official documentation and public repositories, February 2026.

Cold Start Time (lower is better)

ZeroClaw   ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░   10 ms
OpenFang   ██████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░  180 ms    ★
LangGraph  █████████████████░░░░░░░░░░░░░░░░░░░░░░░░░  2.5 sec
CrewAI     ████████████████████░░░░░░░░░░░░░░░░░░░░░░  3.0 sec
AutoGen    ██████████████████████████░░░░░░░░░░░░░░░░░  4.0 sec
OpenClaw   █████████████████████████████████████████░░  5.98 sec

Idle Memory Usage (lower is better)

ZeroClaw   █░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░    5 MB
OpenFang   ████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░   40 MB    ★
LangGraph  ██████████████████░░░░░░░░░░░░░░░░░░░░░░░░░  180 MB
CrewAI     ████████████████████░░░░░░░░░░░░░░░░░░░░░░░  200 MB
AutoGen    █████████████████████████░░░░░░░░░░░░░░░░░░  250 MB
OpenClaw   ████████████████████████████████████████░░░░  394 MB

Install Size (lower is better)

ZeroClaw   █░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░  8.8 MB
OpenFang   ███░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░   32 MB    ★
CrewAI     ████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░  100 MB
LangGraph  ████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░  150 MB
AutoGen    ████████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░  200 MB
OpenClaw   ████████████████████████████████████████░░░░  500 MB

Security Systems (higher is better)

OpenFang   ████████████████████████████████████████████   16      ★
ZeroClaw   ███████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░    6
OpenClaw   ████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░    3
AutoGen    █████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░    2
LangGraph  █████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░    2
CrewAI     ███░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░    1

Channel Adapters (higher is better)

OpenFang   ████████████████████████████████████████████   40      ★
ZeroClaw   ███████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░   15
OpenClaw   █████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░   13
CrewAI     ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░    0
AutoGen    ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░    0
LangGraph  ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░    0

LLM Providers (higher is better)

ZeroClaw   ████████████████████████████████████████████   28
OpenFang   ██████████████████████████████████████████░░   27      ★
LangGraph  ██████████████████████░░░░░░░░░░░░░░░░░░░░░   15
CrewAI     ██████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░   10
OpenClaw   ██████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░   10
AutoGen    ███████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░    8

Feature-by-Feature Comparison

Feature	OpenFang	OpenClaw	ZeroClaw	CrewAI	AutoGen	LangGraph
Language	Rust	TypeScript	Rust	Python	Python	Python
Autonomous Hands	7 built-in	None	None	None	None	None
Security Layers	16 discrete	3 basic	6 layers	1 basic	Docker	AES enc.
Agent Sandbox	WASM dual-metered	None	Allowlists	None	Docker	None
Channel Adapters	40	13	15	0	0	0
Built-in Tools	53 + MCP + A2A	50+	12	Plugins	MCP	LC tools
Memory	SQLite + vector	File-based	SQLite FTS5	4-layer	External	Checkpoints
Desktop App	Tauri 2.0	None	None	None	Studio	None
Audit Trail	Merkle hash-chain	Logs	Logs	Tracing	Logs	Checkpoints
Cold Start	<200ms	~6s	~10ms	~3s	~4s	~2.5s
Install Size	~32 MB	~500 MB	~8.8 MB	~100 MB	~200 MB	~150 MB
License	MIT	MIT	MIT	MIT	Apache 2.0	MIT

16 Security Systems: Defense in Depth

Casos de uso

Social Creative Dev Tools

Topics

agent-frameworkai-agentsllmmcpopen-sourceopenclawoperating-systemrust

Preguntas frecuentes

Lo que la gente pregunta sobre openfang

¿Qué es RightNow-AI/openfang?

RightNow-AI/openfang es subagents para el ecosistema de Claude AI. Open-source Agent Operating System Tiene 18.2k estrellas en GitHub y su última actualización registrada es del 2026-07-02.

¿Cómo se instala openfang?

Puedes instalar openfang clonando el repositorio (https://github.com/RightNow-AI/openfang) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar RightNow-AI/openfang?

Nuestro agente de seguridad ha analizado RightNow-AI/openfang y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene RightNow-AI/openfang?

RightNow-AI/openfang es mantenido por RightNow-AI. La última actividad registrada en GitHub es del 2026-07-02, con 128 issues abiertos.

¿Hay alternativas a openfang?

Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.

Insignia Trust Score

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Markdown (README)

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HTML

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Web del proyecto

https://www.openfang.sh/