A desktop multi-agent harness built with Rust, Tauri, and React, powered by langgraph-rust.
SwarmPentest: World's first open-source multi-agent automated penetration testing framework featuring a blackboard system and plug-in architecture for third-party agent integration, designed for LLM-support.
A complete LangGraph guide for PhD students and researchers. From zero to multi-agent systems with Python examples (chatbots, ReAct agents, supervisor patterns, research pipelines).
Code review, but with 5 models arguing first.
Memex — Memory Infrastructure for AI Agents.
WebAutoCmsDigger：人人可用的 AI 漏洞挖掘协作系统，让代码审计从“难而慢”变成“快且可落地”。 面向实战场景的开源多智能体安全框架，支持一键运行，自动完成项目侦察、风险点定位、LSP调用链追踪、污点分析与逻辑漏洞推演。 自动生成结构化审计报告与可视化调用链结果。 让安全能力不再依赖少数专家，让高质量审计成为每个团队都能拥有的基础能力。
Flock is a native desktop AI agent application built with Rust and Tauri, enabling multi-provider LLM support, tool orchestration, memory, and skills systems. It provides structured automation, persistent sessions, and accessibility-driven agent workflows for powerful cross-app control.
LLM-driven financial sandbox town · NPCs gossip, form opinions, trade · Built with FastAPI + Anthropic + Godot 4.5
IRIS GO 🚀 — Local multi-agent orchestration. Build, control, and watch autonomous AI execute system-level workflows via CLI, mobile, or dashboard.
This is an automated Agentic system that collects, processes, and analyzes data to extract meaningful insights, identify patterns, and support data-driven decision making. https://drive.google.com/file/d/1Drw6jwiJALeztB0MHibOGIlIYsaRdYuk/view
ArXiv MCP server built for multi-agent systems like Magentic-UI and AutoGen
Professional-grade equity research assistant that turns natural-language questions into clear investment briefings. The system blends multi-agent orchestration, retrieval-augmented generation, and live financial data to produce analyst-style reports in seconds.
🦊 An intelligent multi-agent framework for CodeFox ecosystem that orchestrates collaborative AI agents with adaptive decision-making capabilities.
The Intelligent LLM Orchestrator. Routes tasks to Rules, Models, or Agents based on complexity. Saves cost, reduces latency, and ensures deterministic accuracy.
🏆 First Place - MIT Energy & Climate Hack 2023. LLM-powered framework that helps battery researchers optimize material selection and supply chains through natural language questions and Gurobi optimization.
Built a multi-agent corrective RAG pipeline with LangChain, ChromaDB, and OpenAI embeddings, including document ingestion, retrieval evaluation, query correction, and context-aware response generation.
devops sre troubleshooting incident-response root-cause-analysis ooda kubernetes llm ai-agents python docker cli observability site-reliability-engineering automation multi-agent
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