TRAE launches SOLO, a responsive programming assistant for developers, offering real-time control and multi-tasking. Now available internationally with limited-time free access. The July beta included SOLO Builder for multimodal task decomposition and end-to-end app development.....
TRAE SOLO GA, the world's fastest coding agent, now features 'Plan Mode' and 'Diff View' for full product lifecycle support. It automates task breakdown, execution paths, and multi-agent collaboration from user requirements.....
Google's DS STAR framework automates converting vague business problems into executable Python code without human intervention. It handles mixed data formats like CSV, JSON, and unstructured text, bypassing traditional SQL dependencies.....
Onion Academy launched the 'Self-Study Breakthrough Plan 1.0' in Beijing, using AI-driven multi-agent collaboration to cultivate students' autonomous learning and drive transformative education reform.....
Transform your customer support experience with ChatIn's AI multi-agent system.
Eigent is the first multi-agent team, designed to boost productivity.
A user-friendly multi-agent system for automating web tasks.
MM_StoryAgent is a multi-agent framework for generating immersive story videos.
Mungert
RoboBrain2.0-7B is a powerful model designed specifically for the robotics field, with significant improvements in multi-agent task planning, spatial reasoning, and closed-loop execution.
Can111
M1-32B is a 32-billion-parameter large language model fine-tuned from Qwen2.5-32B-Instruct, specifically optimized to enhance reasoning, discussion, and decision-making capabilities in multi-agent systems.
lamm-mit
Cephalo is a series of vision-based large language models (V-LLMs) focused on multimodal materials science, designed to integrate visual and linguistic data to facilitate advanced understanding and interaction in human-computer or multi-agent AI frameworks.
ThomasSimonini
A Unity ML-Agents based 1v1 snowball duel environment for multi-agent training, supporting deep reinforcement learning algorithms
An advanced sequential thinking processing tool based on the Multi-Agent System (MAS), enabling in-depth analysis and problem decomposition by coordinating multiple specialized agents.
The Swarms API is a REST API for building, deploying, and managing multi-agent systems. It supports multiple AI models and swarm architectures, providing functions such as real-time monitoring, batch processing, and task scheduling.
Gaia-X is an enterprise-level AI application platform based on a new generation of AI paradigms. It solves the core pain points of enterprise AI products through an innovative technical architecture and provides core functions such as multi-agent collaboration, natural language RPA, and MCP protocol support.
A multi - agent system laboratory project for educational purposes, simulating e - commerce and health consultation scenarios, demonstrating multi - agent collaboration, the use of the MCP protocol, and the integration of different LLM models.
An OpenAI agent server based on the MCP protocol, providing various professional agents (such as web search, file search, and computer operation) and a multi-agent coordinator, which can interact with clients (such as the Claude desktop application) through the MCP protocol.
A multi-agent deep research system based on MCP, integrating LinkUp search, CrewAI coordination, and the Gemini large model, providing an interactive interface through Streamlit.
This is an MCP (Multi-Agent Conversation Protocol) server project based on the OpenAPI specification, supporting the Google Drive API and providing a full set of toolchains for development, testing, and publishing.
AgentForgeMCP is a multi-agent collaboration platform that focuses on the collaborative work and task allocation among agents.
This project is the documentation repository for the Multi-agent Control Platform (MCP). It uses GitHub Actions to achieve automated deployment and includes documentation structure, local testing methods, and deployment architecture descriptions.
This is an OpenAPI-based MCP (Multi-Agent Conversation Protocol) server project that supports multiple transmission modes and provides a complete development, testing, and release process.
A local multi-agent research system based on Ollama and BraveSearch, supporting tool calls and collaboration, suitable for AI research tasks.
AI Tutor is an AI tutoring system for higher education based on MCP client/server and multi-agent collaboration. It supports Claude and OpenAI models and provides a flexible server configuration method.
The official website of A2A-MCP showcases the technical vision, core advantages, and application scenarios of the multi-agent collaboration protocol, and is built using a modern front-end technology stack.
MeshSeeks is an AI task-solving platform based on multi-agent parallel processing technology. By creating a specialized AI agent network, it enables the rapid decomposition and collaborative resolution of complex coding problems. The project offers 4 times the context capacity, a real-time status panel, and intelligent task coordination functions, significantly improving development efficiency (benchmark tests show a 3.64-fold speed increase).
MCP-TEAMATE is an AI agent communication server based on SSE, providing an interaction environment similar to a corporate team for AI agents, supporting real-time communication, document management, and multi-agent collaboration.
AgentMCP is a universal AI agent collaboration system. Through a simple decorator, any AI agent can be connected to the global collaboration network (MACNet) to achieve automatic communication and task coordination across frameworks and protocols.
This project showcases a lightweight multi-agent AI system that combines the Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) for business analysis. The system provides statistical analysis of business data and knowledge retrieval functions for natural language queries by coordinating multiple dedicated tool servers. It features a modular design that facilitates expansion and the switching of LLM backends.
This project builds a cryptocurrency price query service based on the ALPACA API, specifically designed for MCP (Multi-Agent Control Protocol) integration, providing real-time cryptocurrency prices and market data.
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