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OpenFang - an open-source AI Agent operating system that automates complete workflows.

OpenFang is an open-source agent operating system built in Rust. Its core innovation is Hands—seven pre-built packages of autonomous capabilities that allow AI to automatically perform tasks 24/7 without manual intervention (such as monitoring competitors, data mining, etc.).

What is OpenFang?

OpenFang is an open-source agent operating system built in Rust. Its core innovation is Hands—seven pre-built autonomous capability packages that allow AI to automatically execute tasks 24/7 without manual triggering (such as monitoring competitors, identifying customers, and editing videos). Compared to traditional agents that operate on a "say one thing, do another" basis, Hands comes with a complete Standard Operating Procedure (SOP) for closed-loop operation. The system supports 40 messaging platforms and 27 LLM providers, positioning itself as a lightweight yet feature-rich production-grade AI automation infrastructure.

Main functions of OpenFang

  • Hands Autonomous Operation7 pre-built Hands packages allow the Agent to automatically execute the complete workflow on schedule, without the need for manual triggering line by line.
  • Continuous monitoring and data collectionCollector tracks competitor activities and public opinion changes in real time, automatically builds knowledge graphs, and pushes alerts.
  • Intelligent Clue MiningLead automatically identifies potential customers daily, completes surveys, scores, and deduplicates before generating structured reports.
  • In-depth research and analysisResearcher cross-validates multi-source information and generates multilingual research reports with citations.
  • Automatic video editingClip 8 stage pipeline automatically downloads, identifies highlights, edits vertical screens, adds subtitles, and publishes.
  • Browser automationBrowser simulates web page operations, and forces manual confirmation to ensure security when transactions are involved.
  • Prediction and Content ManagementPredictor performs multi-source signal prediction, while Twitter Hand automatically manages social media accounts.

OpenFang's technical principles

  • Rust full-stack architectureThe system adopts a modular design with 14 independent crates, and a total of 137,000 lines of code are compiled into a single ~32MB binary file, achieving zero-dependency deployment and millisecond-level cold start, balancing performance and portability.
  • WASM Sandbox IsolationThe tool code runs in the WebAssembly dual-metering sandbox. Through fuel metering and epoch interruption mechanisms, along with the watchdog thread to terminate runaway code, it ensures that Agent abnormalities do not affect the host system.
  • Merkle Audit ChainAll operations are recorded using hash chain encryption, forming an immutable audit trail. Any single point of tampering will cause the entire chain to break, achieving accurate traceability and compliance auditing.
  • Information Flow Pollution TrackingSensitive data is marked and tracked throughout its entire lifecycle, from generation to consumption. Combined with Secret Zeroing technology, confidential information such as API keys is automatically erased from memory the moment it becomes invalid, preventing leakage.
  • 16-layer defense depthThe independently operating security layer covers SSRF protection, path traversal prevention, prompt word injection detection, and loop call circuit breaking, with no single point of failure in each layer. The access control and mandatory manual confirmation mechanism integrate security constraints into the architecture rather than post-event patches.

OpenFang's project address

  • Project official websitehttps://www.openfang.sh/
  • GitHub repositoryhttps://github.com/RightNow-AI/openfang

Application scenarios of OpenFang

  • Short video operation teamClip Hand automatically edits long video footage, generates vertical short films, and publishes them on a schedule, creating an unmanned content factory that produces 50 short videos per day.
  • SaaS Enterprise Sales DepartmentBased on Lead Hand, potential customers are automatically identified and screened daily, allowing the sales team to directly obtain a high-quality lead list and improve conversion efficiency.
  • Investment analystsUse Researcher Hand to automatically generate industry research reports with citations, and use Collector Hand to monitor the dynamics of targets, shifting your focus from information gathering to value judgment.
  • Cross-border e-commerce operationsCollector Hand tracks reviews and competitor prices across multiple platforms in real time, providing instant alerts for any anomalies and enabling rapid 15-minute response for public opinion risk control.
  • Corporate Finance DepartmentBrowser Hand automatically logs into multiple platforms to download transaction records and verify invoices, with only large discrepancies requiring manual confirmation, reducing the 3-day reconciliation cycle to 2 hours.