Openfang
Open-source Agent Operating System
Install / Use
/learn @RightNow-AI/OpenfangQuality Score
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Development & EngineeringSupported Platforms
README
v0.3.30 — Security Hardening Release (March 2026)
OpenFang is feature-complete but still pre-1.0. You may encounter rough edges or 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." It is 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
irm https://openfang.sh/install.ps1 | iex
openfang init
openfang start
Hands: Agents That Actually Do Things
<p align="center"><em>"Traditional agents wait for you to type. Hands work <strong>for</strong> you."</em></p>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 — 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
<p align="center"> <img src="public/assets/openfang-vs-claws.png" width="600" alt="OpenFang vs OpenClaw vs ZeroClaw" /> </p>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
OpenFang doesn't bolt security o
