A desktop multi-agent harness built with Rust, Tauri, and React, powered by langgraph-rust.
AgentScope Golang: Agent-Oriented Programming for Building LLM Applications
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.
Memex — Memory Infrastructure for AI Agents.
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.
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.
IRIS GO 🚀 — Local multi-agent orchestration. Build, control, and watch autonomous AI execute system-level workflows via CLI, mobile, or dashboard.
ArXiv MCP server built for multi-agent systems like Magentic-UI and AutoGen
LLM-driven financial sandbox town · NPCs gossip, form opinions, trade · Built with FastAPI + Anthropic + Godot 4.5
Multi-agent AI system that automates brand–creator collaboration approvals using a shared-memory ledger for intelligent campaign matching and eligibility decisions.
God's Eye v2 is a terminal-native, multi-agent penetration testing system that combines autonomous agent orchestration, advanced search, and remote Kali Linux capabilities to perform offensive security workflows with minimal human input. Designed as an experiment in autonomous cyber operations, it explores the practical and ethical boundaries of hi
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.
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
🦊 An intelligent multi-agent framework for CodeFox ecosystem that orchestrates collaborative AI agents with adaptive decision-making capabilities.
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