{"repo":"a-agmon/rs-graph-llm","free":true,"listed":false,"github":"https://github.com/a-agmon/rs-graph-llm","clone":"git clone https://github.com/a-agmon/rs-graph-llm.git","description":"High-performance framework for building interactive workflow systems in Rust. Designed for complex workflows and multi-agent systems","language":"Rust","stars":361,"topics":["agents","graph","langgraph","llm","rust","workflow"],"license":"MIT","category":"ai-agents","readme_excerpt":"# graph-flow ### Stateful Graph Workflow Framework for AI Agents in Rust A type-safe, LangGraph-inspired framework for building complex, interactive, resumable agent workflows --- graph-flow combines the two ideas that make LangGraph pleasant to use — a graph execution engine for stateful workflows, and tight LLM ecosystem integration — and rebuilds them natively in Rust: - graph-flow — the core graph execution library: task orchestration, session persistence, conditional routing, human-in-the-loop pauses - Rig — Rust-native LLM integration and agent capabilities (optional rig feature) You get LangGraph-style workflow design with Rust's performance and type safety, a clean database schema for session state, and flexible execution models — step-by-step, fire-and-forget, or a mix of both in the same graph. Repository Layout Crate What it shows --- --- graph-flow/ The framework library (published to crates.io) insurance-claims-service/ Production-style HTTP service: LLM-driven claim intake, conditional routing, human-in-the-loop approval recommendation-service/ RAG recommendation system with vector search examples/ Small progressive examples: simple example , complex example , recommendation flow , fanout basic , terminal client Start here : read examples/simple example.rs for the core concepts, then the services for real-world patterns. Quick Start 1. Define tasks Tasks are the building blocks of a workflow. Each implements the Task trait, reads and writes shared state through ","default_branch":null,"files":null,"tree":[],"storefront":"/r/a-agmon","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/a-agmon/rs-graph-llm/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."}