A Multi-Agent platform that enables AI agents to collaborate effectively, helping you build powerful agent teams for solving complex tasks.
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Updated
Sep 1, 2025 - Python
A Multi-Agent platform that enables AI agents to collaborate effectively, helping you build powerful agent teams for solving complex tasks.
Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.
A production-grade Python client for the Swarms API, providing a simple and intuitive interface for creating and managing AI swarms.
A production-ready multi-agent system showcasing Agent Communication Protocol (ACP) and Model Context Protocol (MCP) capabilities through a collaborative research workflow.
Distributed Multi-Agent AI Orchestration with Ollama - Advanced collaborative workflow with AST quality voting, TrustCall validation, and adaptive strategy selection
🤖 Enterprise multi-agent orchestration platform for autonomous content verification. Built with agentic AI workflows, MCP integration, AgentDB, and advanced deepfake detection. Features agent memory, learning, and collaboration.
This framework enables secure, decentralized communication between AI agents using blockchain technology and smart contracts. It ensures the integrity, confidentiality, and verifiability of interactions through cryptographic identities, end-to-end encryption, and immutable audit trails.
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