8 posts about AI agent orchestration by 5 contributors.
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Learn how to build production-ready AI agents with Microsoft Agent Framework, from LLM calls and orchestration to scalable agentic systems.
Learn how to implement the Blackboard Architecture with LangGraph for multi-agent AI systems using centralized state, dynamic routing, RAG, and enterprise workflows.
Learn how LangChain enables enterprise AI agents to manage context, memory, stateful workflows, RAG, LangGraph orchestration, and observability for production systems.
Learn how to build a decoupled Personal AI Operating System to orchestrate specialized AI agents. Rajesh Gupta breaks down agent management frameworks, dashboard interfaces, and architectural optimization strategies to minimize LLM token costs.
Learn how to build AI agents with Harness Agents in .NET using Microsoft Agent Framework. This session explains agent orchestration, Harness Agent capabilities, workflow automation, tool integration, multi-agent patterns, and scalable approaches for developing enterprise AI applications with C# and .NET.
Explore AI agent orchestration: coordinating AI agents, tools, and workflows for complex tasks. Build scalable AI with frameworks like LangChain and CrewAI.
Learn how to implement AI agent control logic using pattern matching techniques. In this session, Haim Michael explains orchestration patterns, deterministic AI workflows, routing strategies, retry mechanisms, and structured approaches for building reliable and scalable AI agent systems.
Discover the top 10 essential topics for mastering CrewAI, the lightweight Python framework for building and orchestrating multi-agent AI systems—plus real Crew examples and companies already building production apps with CrewAI.
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