Flock

A desktop multi-agent harness built with Rust, Tauri, and React, powered by langgraph-rust.

Visual Workflow | Multi-Agent Harness | Built-in Agent | Safe Sandbox & VNC | Cross-Platform | Any API Key

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Note: This project is built on top of langgraph-rust, which is my personal Rust implementation of the LangGraph framework.

Refactoring History: Flock has been completely rewritten from the ground up. The original version was a Python-based application using LangGraph, LangChain, and FastAPI as the backend. The current version is a native desktop application with a Rust backend, powered by Tauri for the desktop shell. This rewrite brings significant improvements in performance, reliability, and user experience.

Legacy Code: The original Python codebase is preserved in the legacy/python branch for reference.

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📋 Quick Navigation

Multi-Agent Harness & Workflow · Core Features · Architecture · Quick Start

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🤝 Multi-Agent Harness & Workflow — Visual Orchestration for AI Agents

Flock is more than just a chat client. It's a comprehensive multi-agent harness combined with a powerful Visual Workflow Editor. It orchestrates and runs AI agents locally or inside sandbox containers to read/write files, execute bash commands, browse the web, and run complex pipelines. You see everything the agent does, and you're always in control.

Capability / Feature	Traditional Chat Clients	Flock (Multi-Agent Harness)
Visual Workflow Builder	No	Yes — ReactFlow editor with 10+ node types & streaming execution
AI Operating on Files	Limited or No	Yes — Built-in agent with full filesystem, grep, and glob access
Multi-Step Autonomy	No	Yes — Autonomous LangGraph-rust execution loop with approval prompts
Scheduled Task Automation	No	Yes — Native Cron scheduler for 24/7 unattended workflows
Multi-Agent Collaboration	No	Yes — Auto-detects & orchestrates multiple agents in team networks
Open Source & Extensible	Rarely	Yes — Free, built with Rust & Tauri, fully extensible

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🌟 Core Features

🕸️ Visual Workflow Editor (ReactFlow Engine)

• Drag-and-Drop Canvas: Design complex pipelines visually by connecting custom agent and logic nodes.
• 10 Node Types Shipped:
  • start & answer: Define workflow inputs and final delivery parameters.
  • llm & agent: Pure inference nodes and tool-enabled LangGraph agents.
  • classifier & ifelse: Semantic routing routers and conditional branch checkers.
  • code: Custom JS/Python code runners to execute arbitrary transformations.
  • human: Interactive interrupts asking for manual feedback or input.
  • plugin & parameter_extractor: Expose custom tools/plugins and extract structured data.
• Version Control & Execution History: Easily manage multiple versions of your visual workflows, track historical execution paths, and debug states incrementally.