OpenFang
The Agent Operating System
Open-source Agent OS built in Rust. 137K LOC. 14 crates. 1,767+ tests. Zero clippy warnings.
One binary. Production-grade. Agents that actually work for you.
Documentation • Quick Start • Twitter / X
v0.1.0 — First Release (February 2026)
OpenFang is feature-complete but this is the first public release. You may encounter instability, 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 a production-grade 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
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. |
| 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
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 on after the fact. Every layer is independently testable and operates without a single point of failure.
| # | System | What It Does |
|---|---|---|
| 1 | WASM Dual-Metered Sandbox | Tool code runs in WebAssembly with fuel metering + epoch interruption. A watchdog thread kills runaway code. |
| 2 | Merkle Hash-Chain Audit Trail | Every action is cryptographically linked to the previous one. Tamper with one entry and the entire chain breaks. |
| 3 | Information Flow Taint Tracking | Labels propagate through execution — secrets are tracked from source to sink. |
| 4 | Ed25519 Signed Agent Manifests | Every agent identity and capability set is cryptographically signed. |
| 5 | SSRF Protection | Blocks private IPs, cloud metadata endpoints, and DNS rebinding attacks. |
| 6 | Secret Zeroization | Zeroizing<String> auto-wipes API keys from memory the instant they're no longer needed. |
| 7 | OFP Mutual Authentication | HMAC-SHA256 nonce-based, constant-time verification for P2P networking. |
| 8 | Capability Gates | Role-based access control — agents declare required tools, the kernel enforces it. |
| 9 | Security Headers | CSP, X-Frame-Options, HSTS, X-Content-Type-Options on every response. |
| 10 | Health Endpoint Redaction | Public health check returns minimal info. Full diagnostics require authentication. |
| 11 | Subprocess Sandbox | env_clear() + selective variable passthrough. Process tree isolation with cross-platform kill. |
| 12 | Prompt Injection Scanner | Detects override attempts, data exfiltration patterns, and shell reference injection in skills. |
| 13 | Loop Guard | SHA256-based tool call loop detection with circuit breaker. Handles ping-pong patterns. |
| 14 | Session Repair | 7-phase message history validation and automatic recovery from corruption. |
| 15 | Path Traversal Prevention | Canonicalization with symlink escape prevention. ../ doesn't work here. |
| 16 | GCRA Rate Limiter | Cost-aware token bucket rate limiting with per-IP tracking and stale cleanup. |
Architecture
14 Rust crates. 137,728 lines of code. Modular kernel design.
openfang-kernel Orchestration, workflows, metering, RBAC, scheduler, budget tracking
openfang-runtime Agent loop, 3 LLM drivers, 53 tools, WASM sandbox, MCP, A2A
openfang-api 140+ REST/WS/SSE endpoints, OpenAI-compatible API, dashboard
openfang-channels 40 messaging adapters with rate limiting, DM/group policies
openfang-memory SQLite persistence, vector embeddings, canonical sessions, compaction
openfang-types Core types, taint tracking, Ed25519 manifest signing, model catalog
openfang-skills 60 bundled skills, SKILL.md parser, FangHub marketplace
openfang-hands 7 autonomous Hands, HAND.toml parser, lifecycle management
openfang-extensions 25 MCP templates, AES-256-GCM credential vault, OAuth2 PKCE
openfang-wire OFP P2P protocol with HMAC-SHA256 mutual authentication
openfang-cli CLI with daemon management, TUI dashboard, MCP server mode
openfang-desktop Tauri 2.0 native app (system tray, notifications, global shortcuts)
openfang-migrate OpenClaw, LangChain, AutoGPT migration engine
xtask Build automation
40 Channel Adapters
Connect your agents to every platform your users are on.
Core: Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Email (IMAP/SMTP) Enterprise: Microsoft Teams, Mattermost, Google Chat, Webex, Feishu/Lark, Zulip Social: LINE, Viber, Facebook Messenger, Mastodon, Bluesky, Reddit, LinkedIn, Twitch Community: IRC, XMPP, Guilded, Revolt, Keybase, Discourse, Gitter Privacy: Threema, Nostr, Mumble, Nextcloud Talk, Rocket.Chat, Ntfy, Gotify Workplace: Pumble, Flock, Twist, DingTalk, Zalo, Webhooks
Each adapter supports per-channel model overrides, DM/group policies, rate limiting, and output formatting.
27 LLM Providers — 123+ Models
3 native drivers (Anthropic, Gemini, OpenAI-compatible) route to 27 providers:
Anthropic, Gemini, OpenAI, Groq, DeepSeek, OpenRouter, Together, Mistral, Fireworks, Cohere, Perplexity, xAI, AI21, Cerebras, SambaNova, HuggingFace, Replicate, Ollama, vLLM, LM Studio, Qwen, MiniMax, Zhipu, Moonshot, Qianfan, Bedrock, and more.
Intelligent routing with task complexity scoring, automatic fallback, cost tracking, and per-model pricing.
Migrate from OpenClaw
Already running OpenClaw? One command:
# Migrate everything — agents, memory, skills, configs openfang migrate --from openclaw # Migrate from a specific path openfang migrate --from openclaw --path ~/.openclaw # Dry run first to see what would change openfang migrate --from openclaw --dry-run
The migration engine imports your agents, conversation history, skills, and configuration. OpenFang reads SKILL.md natively and is compatible with the ClawHub marketplace.
OpenAI-Compatible API
Drop-in replacement. Point your existing tools at OpenFang:
curl -X POST localhost:4200/v1/chat/completions \ -H "Content-Type: application/json" \ -d '{ "model": "researcher", "messages": [{"role": "user", "content": "Analyze Q4 market trends"}], "stream": true }'
140+ REST/WS/SSE endpoints covering agents, memory, workflows, channels, models, skills, A2A, Hands, and more.
Quick Start
# 1. Install (macOS/Linux) curl -fsSL https://openfang.sh/install | sh # 2. Initialize — walks you through provider setup openfang init # 3. Start the daemon openfang start # 4. Dashboard is live at http://localhost:4200 # 5. Activate a Hand — it starts working for you openfang hand activate researcher # 6. Chat with an agent openfang chat researcher > "What are the emerging trends in AI agent frameworks?" # 7. Spawn a pre-built agent openfang agent spawn coder
Windows (PowerShell)
irm https://openfang.sh/install.ps1 | iex openfang init openfang start
Development
# Build the workspace cargo build --workspace --lib # Run all tests (1,767+) cargo test --workspace # Lint (must be 0 warnings) cargo clippy --workspace --all-targets -- -D warnings # Format cargo fmt --all -- --check
Stability Notice
OpenFang v0.1.0 is the first public release. The architecture is solid, the test suite is comprehensive, and the security model is production-grade. That said:
- Breaking changes may occur between minor versions until v1.0
- Some Hands are more mature than others (Browser and Researcher are the most battle-tested)
- Edge cases exist — if you find one, open an issue
- Pin to a specific commit for production deployments until v1.0
We ship fast and fix fast. The goal is a rock-solid v1.0 by mid-2026.
License
MIT — use it however you want.
Links
Built with Rust. Secured with 16 layers. Agents that actually work for you.
OpenFang is developed by RightNow AI