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Lightweight interfaces for managing the wiring and execution state of active agents.
Distinct from Agent Lifecycle Management: Distinct from Agent Lifecycle Management: focuses on the coordination interface for wiring and state rather than the administrative lifecycle of creating/deleting instances.
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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
Handles the wiring, connection, and execution state of agents through a lightweight coordination interface.