affaan-m/ECC
ECC is a harness-native operator system designed for agentic AI work, providing a comprehensive solution with skills, memory optimization, security, and research-first development across multiple A...
Awesome AI Agents › Multi-Agent Frameworks
modelscope/ms-agent
MS-Agent is a lightweight and extensible framework designed to empower autonomous agents with advanced exploration capabilities. It provides a flexible architecture that supports the creation of multi-agent systems capable of performing complex tasks such as code generation, data analysis, and tool calling. The framework supports the Model Calling Protocol (MCP), enabling agents to interact with various tools and APIs seamlessly. MS-Agent is designed for general-purpose use, allowing developers to build agents that can chat, generate code, and execute complex workflows autonomously. The framework emphasizes deep research capabilities to enhance autonomous exploration and task execution. It supports code generation with artifact management, making it suitable for software development and automation tasks. MS-Agent is lightweight, making it easy to extend and customize for different applications. The project includes features like multi-agent chat with tool-calling, parallel tool calling, and integration with various AI models and APIs. It also supports hybrid search knowledge strategies and modalities, enhancing its utility in data science and research applications. The framework is actively maintained with frequent updates, including new tools like CodexGraph for graph-based code generation and support for mobile agents. MS-Agent also offers a user-friendly Assistant API and Tools API for executing utilities in secure containers. It supports multi-role chat rooms and image input in role-playing agents, expanding its interactive capabilities. The project is well-documented and includes examples and demos to help developers get started. It is suitable for researchers, developers, and organizations looking to build intelligent agents for autonomous exploration, code generation, and complex task automation. The repository provides installation instructions and links to related papers and documentation for further reference.
https://github.com/modelscope/ms-agent
Also in Multi-Agent Frameworks
ruvnet/ruflo
Ruflo is a leading agent orchestration platform for Claude, enabling the deployment of intelligent multi-agent swarms, coordination of autonomous workflows, and building conversational AI systems.
Yeachan-Heo/oh-my-claude-sisyphus
Oh My Claude Sisyphus (OMC) is a multi-agent orchestration framework for Claude Code, simplifying complex AI agent workflows without a steep learning curve.
microsoft/JARVIS
JARVIS is a collaborative AI system that connects large language models with expert AI models from HuggingFace to autonomously plan, execute, and integrate complex AI tasks.
rowboatlabs/rowboat
Rowboat is an AI-powered platform that enables users to build and manage multi-agent swarms using natural language, integrating tools and knowledge for automated workflows and deployment via API or SDK.
cft0808/edict
Edict is an OpenClaw Multi-Agent Orchestration System featuring 9 specialized AI agents, a real-time dashboard, model configuration, and full audit trails, inspired by ancient Chinese imperial gove...
MemoriLabs/Memori
Memori is a versatile SQL native memory layer designed to enhance LLMs, AI agents, and multi-agent systems with advanced memory management, seamless integration, and high performance.
HKUDS/DeepCode
DeepCode is an open-source project that uses multi-agent AI systems to convert research papers and natural language into production-ready code through both CLI and web interfaces.