OpenFang

What is OpenFang?

OpenFang is an open-source agent operating system written in Rust and shipped as one binary for macOS, Linux and Windows. Instead of waiting for chat prompts, its seven built-in Hands run on schedules, build knowledge graphs and report results to a dashboard. The Hands cover video clipping, lead generation, target monitoring, forecasting, research, X account management and browser automation. Around them sit 30 pre-built agents, 38 native tools plus an MCP client and server, 40 channel adapters such as Telegram, Discord, Slack and WhatsApp, and 26 LLM providers. Tool code runs inside a WASM sandbox, and the project lists 16 security systems including Ed25519 manifest signing and a Merkle audit trail. Memory is stored in SQLite with vector embeddings, and a Tauri 2.0 desktop app provides a native dashboard. It is free under the MIT license, so there are no pricing plans, and you install it with a curl command or a PowerShell script.

Use cases

• Run scheduled autonomous agents on your own machine
• Generate and score leads on a daily schedule
• Monitor targets with change and sentiment alerts
• Cut long videos into short clips with captions
• Connect one agent to Telegram, Slack and Discord
• Expose agent tools to other agents over MCP

Who it's for

• Agent developers
• Self-hosters
• Rust developers
• Automation builders

Why use OpenFang

• Agents keep working on a schedule and report to a dashboard, rather than waiting for you to type.
• A single compiled binary means few moving parts to install and update on your own hardware.
• Sandboxed tool execution and an audit trail make long-running agents easier to trust.
• One agent can answer on dozens of messaging platforms with per-channel rules.
• MIT licensing allows free use and modification without a subscription.

OpenFang features

• Seven autonomous Hands: Clip, Lead, Collector, Predictor, Researcher, Twitter and Browser
• 30 pre-built agents with four performance tiers
• 38 built-in tools plus Model Context Protocol client and server
• 40 channel adapters with per-channel model overrides and rate limits
• WASM sandbox with fuel and epoch metering
• Ed25519 manifest signing, taint tracking and a Merkle audit trail
• SQLite memory with vector embeddings and automatic compaction
• MCP, Google A2A and the OpenFang P2P protocol
• Tauri 2.0 desktop app with system tray and global shortcuts
• Support for 26 LLM providers including Anthropic, Gemini, Groq and DeepSeek

OpenFang integrations

• Telegram
• Discord
• Slack
• WhatsApp
• IRC
• Matrix
• Anthropic
• Gemini
• Groq
• DeepSeek
• FFmpeg
• yt-dlp

How to get started with OpenFang

1. Install OpenFang with the curl script on macOS or Linux, or the PowerShell installer on Windows.
2. Run openfang init and add credentials for one of the supported LLM providers.
3. Activate a Hand or spawn one of the pre-built agents with a single command.
4. Connect channels such as Telegram or Slack and optional MCP servers.
5. Check the dashboard in the browser or the Tauri desktop app for scheduled results.

OpenFang limitations

• Windows installer does not support 32-bit systems
• You choose and pay for your own LLM provider access
• Provider and channel coverage claims come from the project's own comparison

OpenFang pricing

OpenFang is open source, so you can use and self-host it for free.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

OpenFang alternatives

The main OpenFang alternatives listed on Debuly are OpenClaw, CrewAI, AutoGen, LangGraph, ZeroClaw and SwarmClaw. The table compares pricing and platforms; order is A–Z.

1. 

   AutoGen

   Microsoft's MIT-licensed Python and .NET framework for multi-agent AI apps, now archived; new projects are pointed to Microsoft Agent Framework.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit AutoGen (official site)
2. 

   CrewAI

   Multi-agent framework and platform for building AI agent crews in Python or a visual editor, then deploying and monitoring them.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit CrewAI (official site)
3. 

   LangGraph

   Low-level open-source orchestration framework and runtime for building stateful, long-running AI agents as graphs.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit LangGraph (official site)
4. 

   OpenClaw

   Open-source personal AI assistant that runs on your own devices and takes actions for you through WhatsApp, Telegram, Slack, Discord and other chat apps.

   Automation and agentsChat assistantsProductivity
   Open sourceVisit OpenClaw (official site)
5. 

   SwarmClaw

   Open-source, self-hosted runtime for running AI agent teams with memory, schedules, delegation and 24+ model providers.

   Automation and agentsDeveloper platformsCoding
   Open sourceVisit SwarmClaw (official site)
6. 

   ZeroClaw

   Open-source personal AI agent runtime in one Rust binary, connecting 70+ model providers to 30+ chat channels on hardware you control.

   Automation and agentsDeveloper platforms
   Open sourceVisit ZeroClaw (official site)

OpenFang FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from openfang.sh · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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