flock

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.

Human-in-the-Loop (HITL) & Safe Interaction

• Interactive Tool Approvals: Crucial actions (like writing files, running bash scripts, or modifying configurations) require explicit user approval before execution. You can inspect the plan, approve, or deny on the fly.
• VNC Screen Takeover: Directly interact with sandboxed browser and OS interfaces. When the agent gets stuck on captchas, you can take over mouse/keyboard controls seamlessly.
• Workflow Breakpoints (human node): Place manual intervention checkpoints in the visual flow to request human decisions, form submissions, or variable modifications before proceeding.

Browser Automation & Computer Use

• Playwright Browser: Scrape web data, click links, and bypass forms using an isolated browser execution engine.
• Computer Use: Command virtual desktops using OS-level commands (xdotool). The agent monitors framebuffer screen feeds and handles mouse/keyboard events.

Built-in Agent — Zero Configuration

• Out of the box: No external CLI tools to download or configure. Paste any API Key (OpenAI, Gemini, Anthropic Claude, AWS Bedrock, or Ollama/local) and start immediately.
• Skill Extensions: Extensible via YAML-frontmatter prompts that support Hot-Reloading on file changes.

Safe Sandbox Environment

• Isolated Environment: Executes risky shell scripts and code execution safely inside isolated environment containers.
• VNC Streaming: Stream sandbox desktops directly into the UI via WebSockets for full visual inspection of the running environment.

MCP & Scheduled Tasks

• MCP (Model Context Protocol): Connect to third-party MCP servers once; all assistants and workflows automatically inherit the newly exposed schemas and tools.
• Scheduled Cron Tasks: Set it once, the agent executes scheduled tasks on autopilot. Supports standard cron syntax for automated system maintenance, daily file aggregation, or report generation.

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️ Architecture

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Module Breakdown

Crate	Directory	Purpose
flock-core	crates/flock-core	Shared configuration schemas, SQLite DB models, encryption utilities, and IPC channels.
flock-agent	crates/flock-agent	The core agent executor loop, LangGraph state engine, checkpointer, and memory system.
flock-workflow	crates/flock-workflow	Workflow node logic and JSON-to-LangGraph AST compiler.
flock-tools	crates/flock-tools	Built-in and sandboxed tools, VNC web socket proxies, and sandbox managers.
flock-skills	crates/flock-skills	System prompts loader supporting variable injection and watcher-based hot-reload.
flock-ui	flock-ui	React application featuring Zustand, i18next, and ReactFlow editor.

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Quick Start

Prerequisites

• Rust: 1.77.2 or later
• Node.js: 18.x or later

Install & Run

1. Clone the Repository

   git clone https://github.com/Onelevenvy/flock.git
   cd flock
   

2. Install Frontend Dependencies

   cd flock-ui
   npm install
   

3. Start Development App

   npm run tauri dev
   

4. Run Backend Tests

   cargo test --workspace
   

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License

Licensed under the Apache License, Version 2.0. See LICENSE for details.