Clip — Video Automation
Automatically convert YouTube videos into vertical shorts with AI subtitles and voiceovers, then publish directly to Telegram channels. The content pipeline runs itself—no editor required.
Rust-Powered · Production-Grade Agent OS
OpenFang
A production-grade Agent Operating System. Not just another chatbot framework—this is a full-fledged AI OS designed to let your agents run autonomously 24/7 while you sleep.
System Preview
180ms
Cold Start
40MB
Idle Memory
16
Binary Size
7
Built-in Hands
Seven Hands, Infinite Automation
Each Hand is an independent automation package with its own built-in models, tools, and workflows. It's like hiring 7 AI employees, each dedicated to a specific role, working around the clock without ever taking a break.
Lead — Lead Mining
Automatically mine potential leads daily, score them based on ICP models, deduplicate, and export to CSV. Wake up every morning to a fresh list of qualified leads waiting for you.
Collector — Intelligence Monitoring
OSINT-grade intelligence monitoring with change detection. Track competitor moves, industry news, and market signals, and get alerted only when it truly matters.
Predictor — Trend Forecasting
A super-forecasting engine with probabilistic calibration and reasoning. Model and analyze market trends and business outcomes before your competitors do.
Researcher — Deep Research
Deep autonomous research with credibility assessment. Outputs structured reports with source quality scores, rather than just stitching web content together.
Twitter + Browser
Autonomously manage X/Twitter accounts with built-in human-in-the-loop approval gates. The Browser handles web automation, with mandatory human confirmation for financial operations to ensure safety.
OpenFang vs OpenClaw vs ZeroClaw
Built with Rust, designed for production environments—not just toy prototypes.
Metrics
OpenClaw
ZeroClaw
OpenFang
Cold Start
2.5s+
4s+
180ms
Idle Memory
180MB+
250MB+
40MB
Binary Size
100MB+
200MB+
32MB
Security Layers
3
2
16
Channel Adapters
15
8
40
Built-in Hands
0
0
7
Cold Start Speed
- OpenClaw / ZeroClaw
- 2.5s – 4s+
- OpenFang
- 180ms
Security Protection
- Traditional Frameworks
- 2–3 Layers
- OpenFang
- 16 Layers
Channel Support
- Other Frameworks
- 5 or fewer
- OpenFang
- 40 Adapters
One Hand, One Business Line
OpenFang doesn't just assist you; it does the work for you. These are tasks you would otherwise have to hire people for.
Content Production Pipeline
Clip + Twitter integration: Monitor trending videos → Edit shorts → Add subtitles → Publish to communities. It works while you sleep.
Sales Lead Automation
Lead runs every night: Discover prospects, ICP scoring, deduplication, and CSV generation. Open your computer in the morning, and qualified leads are ready.
Competitor Intelligence Monitoring
Collector watches competitor websites, pricing, careers pages, and news. You'll know the moment something changes—not after the fact.
Multi-Agent Workflow Orchestration
Use workflows to chain multiple Hands together: Researcher → Predictor → Clip → Broadcast to 40 channels, all in one click.
Seamless Migration from OpenClaw
Migrate with a single command: openfang migrate --from openclaw . Your previous memories and workflows are transferred with virtually no data loss.
Production-Grade Security
WASM sandboxing, Merkle audit chains, SSRF protection, prompt injection scanning, and GCRA rate limiting—16 layers of protection for worry-free deployment.
One Command, Then Walk Away
Single binary, no Docker required. Runs on laptops, VPS, or Raspberry Pi. Launch autonomous agents in under 60 seconds.
bash — Quick Install
System Requirements
Linux / macOS / Windows
x86_64 or ARM64 architecture
Memory ≥ 64MB (256MB recommended)
LLM API Key (supports 12 providers)
What You Get
7 built-in autonomous Hands
10 workflow orchestration templates
40 channel adapters (including Feishu, DingTalk)
Tauri 2.0 native desktop client
Three Steps to Autonomous AI
Installation
curl -fsSL https://openfang.sh/install | sh # Windows PowerShell: irm https://openfang.sh/install.ps1 | iexInitialization
openfang init # Configure LLM providers and channel tokensInteractive guided configuration to input your LLM API keys and communication channel tokens.
Launch Agents
openfang start # Migrate from OpenClaw: openfang migrate --from openclawAgents run as background daemons, monitored and managed via the desktop client or Web UI.
macOS
Linux
Windows
Raspberry Pi
VPS / Cloud Server
FAQ
What is OpenFang?
OpenFang is a production-grade Agent Operating System built on Rust. Unlike chatbot frameworks, it is designed for AI agents to run autonomously 24/7—without requiring constant manual prompts. It serves as the OS layer for AI agents, providing infrastructure for runtime, security, and channel connectivity.
How is it different from OpenClaw?
OpenClaw is great for personal use and experimental projects. OpenFang is the choice when you need production-grade reliability: Rust instead of TypeScript, 16 layers of security instead of basic sandboxing, and built-in Hands rather than cobbled-together glue code. OpenFang also offers a one-click migration path: openfang migrate --from openclaw , transferring your previous memories and workflows with virtually no loss.
What are Hands?
Hands are OpenFang's autonomous capability units, similar to enhanced plugins but fully self-contained. Each Hand comes pre-configured with its own models, toolsets, and execution workflows—no manual assembly required, just activate and use. The seven built-in Hands cover: Video (Clip), Lead Mining (Lead), Intelligence Monitoring (Collector), Trend Forecasting (Predictor), Deep Research (Researcher), Social Media Management (Twitter), and Web Automation (Browser).
Which LLM providers are supported?
OpenFang supports 12 major LLM providers, including Anthropic, OpenAI, Gemini, Groq, DeepSeek, Mistral, Together, Ollama, vLLM, and more, covering 123+ models. All providers require an API Key; OAuth is not currently supported. Each Hand can be independently configured to use different providers.
Which communication channels are supported?
OpenFang supports 40 channel adapters, the widest coverage of any agent framework. This includes Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Teams, Google Chat, Feishu, DingTalk, Mastodon, Bluesky, LinkedIn, Reddit, IRC, and more. Whatever your team uses, OpenFang likely supports it.
Is it suitable for production?
OpenFang v0.1.0 has passed 1,767+ tests with zero Clippy warnings. The 16 layers of security include WASM sandboxing, Merkle hash chain audit trails, and SSRF protection. APIs may have breaking changes before v1.0, so we recommend pinning versions for production. The core runtime is stable and deployed in real-world production environments. github.com/RightNow-AI/openfang You can find OpenFang on GitHub: github.com/RightNow-AI/openfang . Star the project to get the latest updates and feature announcements!
Where is the GitHub repository?
OpenFang includes built-in cron functionality, supporting various task types: one-time reminders (e.g., "remind me in 1 hour"), recurring tasks (e.g., "send daily report at 8 AM"), and standard cron expressions. You can easily manage scheduled tasks via configuration files to automate your workflows.