Hasan OzganHasan Ozgan
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Multi-Agent Orchestration

Reference implementation of distributed multi-agent coordination covering service discovery, delegation boundaries, and messaging protocols.

Completed
Repository
pythonfasta2apydantic-ailanggraphmcpmulti-agent

Multi-Agent Orchestration Patterns

A reference demonstration illustrating patterns for coordinating autonomous AI agents across independent distributed microservices. It focuses on the architectural coordination layer rather than raw model capabilities.

Coordination Patterns Demonstrated

  • Service-to-Service Discovery: Dynamic registration and discovery of agent capabilities across decentralized endpoints.
  • Task Delegation Boundaries: Explicit contracting and capability negotiation preventing infinite agent loops and out-of-scope executions.
  • Standardized Messaging Protocols: Structured JSON schema message contracts for agent-to-agent communication and task state handoffs.
  • Human-in-the-Loop Gates: Seamless suspension and resumption of distributed agent graphs for human review and sign-off.

Technology Stack

  • Languages & Frameworks: Python, FastA2A, PydanticAI
  • Agent Orchestration: LangGraph, Model Context Protocol (MCP SDK)