{"repo":"M4n5ter/rigs","free":true,"listed":false,"github":"https://github.com/M4n5ter/rigs","clone":"git clone https://github.com/M4n5ter/rigs.git","description":"Rigs is an Agent orchestration framework based on Rig","language":"Rust","stars":17,"topics":["agent","agents","ai","orchestration","orchestrator","rig"],"license":"MIT","category":"workflow-automation","readme_excerpt":"Rigs English 中文 Rigs is an Agent orchestration framework based on Rig, designed for building and managing intelligent agent systems with graph-based workflows. It allows you to create, connect, and orchestrate multiple specialized AI agents, enabling them to collaborate and handle complex task flows. Features - Graph-based Workflow : Define workflows and data flows between agents using Directed Acyclic Graphs (DAGs) - Conditional Flow Transitions : Support conditional flow transitions and data transformations - Multi-Agent Collaboration : Easily connect multiple specialized agents to form powerful agent networks - Multiple Starting Agents : Support for executing workflows with multiple entry points - Persistence Support : Built-in conversation and state persistence - Visualization Export : Export workflows to Graphviz DOT format for visualization - Flexible Agent Configuration : Easily configure agent parameters through the builder pattern - Team Workflows : Higher-level abstraction for team-based workflows with leader agents Installation Add the following to your Cargo.toml file: Quick Start Here's a simple example showing how to create and connect multiple agents: Advanced Usage Multiple Starting Agents Conditional Flows and Data Transformation Team Workflows Workflow Visualization Examples See the examples directory for more examples. License This project is licensed under the MIT License. ---","default_branch":null,"files":null,"tree":[],"storefront":"/r/M4n5ter","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/M4n5ter/rigs/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}