openfang
Open-source Agent Operating System
- 18.2k stars
- 2.3k forks
- 128 open issues
- Language: Rust
- License: Apache-2.0
- updated
Install
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.
Editor's note
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.
24 items in this repository
Ansible automation expert for playbooks, roles, inventories, and infrastructure management
Playwright-based browser automation patterns for autonomous web interaction
CI/CD pipeline expert for GitHub Actions, GitLab CI, Jenkins, and deployment automation
Expert knowledge for AI video clipping — yt-dlp downloading, whisper transcription, SRT generation, and ffmpeg processing
Code review specialist focused on patterns, bugs, security, and performance
Expert knowledge for AI intelligence collection — OSINT methodology, entity extraction, knowledge graphs, change detection, and sentiment analysis
Confluence wiki expert for page structure, spaces, macros, and content organization
Cryptography expert for TLS, symmetric/asymmetric encryption, hashing, and key management
CSS expert for flexbox, grid, animations, responsive design, and modern layout techniques
Elasticsearch expert for queries, mappings, aggregations, index management, and cluster operations
Professional email writing expert for tone, structure, clarity, and business communication
Figma design expert for components, auto-layout, design systems, and developer handoff
Go programming expert for goroutines, channels, interfaces, modules, and concurrency patterns
GraphQL expert for schema design, resolvers, subscriptions, and performance optimization
Subagents overview
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:4200Windows
irm https://openfang.sh/install.ps1 | iex
openfang init
openfang startHands: 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. |
| 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 listBuild 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 secIdle Memory Usage (lower is better)
ZeroClaw █░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 5 MB
OpenFang ████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 40 MB ★
LangGraph ██████████████████░░░░░░░░░░░░░░░░░░░░░░░░░ 180 MB
CrewAI ████████████████████░░░░░░░░░░░░░░░░░░░░░░░ 200 MB
AutoGen █████████████████████████░░░░░░░░░░░░░░░░░░ 250 MB
OpenClaw ████████████████████████████████████████░░░░ 394 MBInstall Size (lower is better)
ZeroClaw █░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 8.8 MB
OpenFang ███░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 32 MB ★
CrewAI ████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 100 MB
LangGraph ████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 150 MB
AutoGen ████████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░ 200 MB
OpenClaw ████████████████████████████████████████░░░░ 500 MBSecurity Systems (higher is better)
OpenFang ████████████████████████████████████████████ 16 ★
ZeroClaw ███████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 6
OpenClaw ████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 3
AutoGen █████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 2
LangGraph █████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 2
CrewAI ███░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 1Channel Adapters (higher is better)
OpenFang ████████████████████████████████████████████ 40 ★
ZeroClaw ███████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 15
OpenClaw █████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 13
CrewAI ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 0
AutoGen ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 0
LangGraph ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 0LLM Providers (higher is better)
ZeroClaw ████████████████████████████████████████████ 28
OpenFang ██████████████████████████████████████████░░ 27 ★
LangGraph ██████████████████████░░░░░░░░░░░░░░░░░░░░░ 15
CrewAI ██████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 10
OpenClaw ██████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 10
AutoGen ███████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 8Feature-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
What people ask about openfang
What is RightNow-AI/openfang?
RightNow-AI/openfang is subagents for the Claude AI ecosystem. Open-source Agent Operating System It has 18.2k GitHub stars and its last recorded update is dated 2026-07-02.
How do I install openfang?
You can install openfang by cloning the repository (https://github.com/RightNow-AI/openfang) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is RightNow-AI/openfang safe to use?
Our security agent has analyzed RightNow-AI/openfang and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.
Who maintains RightNow-AI/openfang?
RightNow-AI/openfang is maintained by RightNow-AI. The last recorded GitHub activity is dated 2026-07-02, with 128 open issues.
Are there alternatives to openfang?
Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
Maintain this repo? Show its Trust Score in your README
The badge shows this repository's current Trust Score and verdict, and links back to this page. It follows the catalogue data: nobody can buy or edit the score it displays.
[](https://claudewave.com/en/repo/rightnow-ai-openfang)<a href="https://claudewave.com/en/repo/rightnow-ai-openfang"><img src="https://claudewave.com/api/badge/rightnow-ai-openfang" alt="ClaudeWave Trust Score for RightNow-AI/openfang" width="320" height="64"></a>