RightNow-AI/openfang: Trending on GitHub
〽️ RightNow-AI/openfang: Trending on GitHub
The Rise of OpenFang: A Revolutionary Agent Operating System
In the world of artificial intelligence and machine learning, a new player has emerged that's making waves in the industry. OpenFang, an open-source agent operating system built in Rust, is gaining traction on GitHub and is poised to revolutionize the way we interact with AI. But what sets OpenFang apart from other agent frameworks, and why should you care?
What is OpenFang?
OpenFang is not just another chatbot framework or a Python wrapper around a large language model (LLM). It's a full-fledged operating system for autonomous agents, built from scratch in Rust. Traditional agent frameworks wait for you to type something, but 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 Hands: Autonomous Capability Packages
At the heart of OpenFang are the Hands – pre-built autonomous capability packages that run independently, on schedules, without you having to prompt them. These Hands are not just simple scripts; they're complex workflows that can be customized and extended to suit your needs. Each Hand bundles a set of tools, settings, and a system prompt that defines its behavior.
7 Bundled Hands
OpenFang comes with 7 pre-built Hands, each designed to perform a specific task:
- Clip: Takes a YouTube URL, downloads it, identifies the best moments, cuts them into vertical shorts with captions and thumbnails, and publishes to Telegram and WhatsApp.
- 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.
- Collector: OSINT-grade intelligence that monitors targets continuously – change detection, sentiment tracking, knowledge graph construction, and critical alerts when something important shifts.
- Predictor: A superforecasting engine that collects signals from multiple sources, builds calibrated reasoning chains, makes predictions with confidence intervals, and tracks its own accuracy using Brier scores.
- Researcher: A deep autonomous researcher that cross-references multiple sources, evaluates credibility using CRAAP criteria (Currency, Relevance, Authority, Accuracy, Purpose), generates cited reports with APA formatting, and supports multiple languages.
- Twitter: An autonomous Twitter/X account manager that creates content in 7 rotating formats, schedules posts for optimal engagement, responds to mentions, tracks performance metrics, and has an approval queue.
- Browser: A web automation agent that navigates sites, fills forms, clicks buttons, handles multi-step workflows, and uses Playwright bridge with session persistence.
Security and Architecture
OpenFang boasts a comprehensive security model with 16 discrete security layers, including:
- WASM dual-metered sandbox
- Merkle hash-chain audit trail
- Information flow taint tracking
- Ed25519 signed agent manifests
- SSRF protection
- Secret zeroization
- OFP mutual authentication
- Capability gates
- Security headers
- Health endpoint redaction
- Subprocess sandbox
- Prompt injection scanner
- Loop guard
- Session repair
- Path traversal prevention
- GCRA rate limiter
The architecture is modular, with 14 Rust crates and 137,728 lines of code. OpenFang uses a kernel design that allows for easy extension and customization.
Channel Adapters and LLM Providers
OpenFang supports 40 channel adapters, including Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Email (IMAP/SMTP), and more. Each adapter supports per-channel model overrides, DM/group policies, rate limiting, and output formatting. OpenFang also supports 27 LLM providers, including Anthropic, Gemini, OpenAI, Groq, DeepSeek, and more.
Migrate from OpenClaw
If you're already running OpenClaw, you can migrate to OpenFang with a single command. The migration engine imports your agents, conversation history, skills, and configuration, and OpenFang reads SKILL.md natively and is compatible with the ClawHub marketplace.
Conclusion
OpenFang is a revolutionary agent operating system that's poised to change the way we interact with AI. With its comprehensive security model, modular architecture, and 7 pre-built Hands, OpenFang is a game-changer in the industry. Whether you're a developer, a business owner, or an AI enthusiast, OpenFang is definitely worth checking out.
Links
Website & Documentation: https://openfang.sh/ Quick Start Guide: https://openfang.sh/quick-start/ GitHub: https://github.com/RightNow-AI/openfang Discord: https://discord.gg/RightNow-AI Twitter / X: https://twitter.com/RightNowAI
License
MIT – use it however you want.
