AgentNetworkProtocol(ANP) is an open source protocol for agent communication. Our vision is to define how agents connect with each other, building an open, secure, and efficient collaboration network for billions of intelligent agents.
mcp-agent is a framework for building AI agents that integrate with Model Context Protocol servers to execute tools and access data. It functions as a multi-agent orchestrator and protocol-compliant server, enabling the creation of agents that can discover and invoke tools from connected external servers. The project distinguishes itself through a durable workflow engine that supports long-running tasks capable of pausing, resuming, and surviving restarts. It implements complex orchestration patterns, including iterative evaluator-optimizer loops, hierarchical workflow nesting, and specialist
MindsDB is an AI-native database engine that treats machine learning models and autonomous agents as virtual tables. By mapping external data sources, predictive models, and third-party services directly into the database schema, it enables users to perform inference, data retrieval, and complex orchestration using standard SQL syntax. The platform distinguishes itself through an autonomous agent orchestrator that executes iterative reasoning loops, allowing agents to plan data access and synthesize natural language responses from connected knowledge bases. It functions as a federated data ga
Lab for creating an MCP Server and using it in Microsoft Copilot Studio.
The main features of microsoft/mcsmcp are: Agent and Integration Frameworks.
Open-source alternatives to microsoft/mcsmcp include: agent-network-protocol/agentnetworkprotocol — AgentNetworkProtocol(ANP) is an open source protocol for agent communication. Our vision is to define how agents… lastmile-ai/mcp-agent — mcp-agent is a framework for building AI agents that integrate with Model Context Protocol servers to execute tools… mindsdb/mindsdb — MindsDB is an AI-native database engine that treats machine learning models and autonomous agents as virtual tables.…