Multi-agents CrewAI/AutoGen/n8n Dify/Ollama + Anthropic MCP/Claude Connectors + MS Agent365/Builder/Copilot/Teams/Azure/Fabric OneLake + OpenAI SDK + Opik/Fathom + GPT research
Key Questions
What are Microsoft Fabric OneLake agents used for?
OneLake agents in Microsoft Fabric automate development, admin inventory, and data engineering tasks, giving agents access to manage workspaces.
How does Agent Builder and Copilot work in Microsoft 365?
Agent Builder and Copilot in M365/Teams enable digital coworkers for actions; Agent 365 allows collaboration with agents.
What tools support multi-agent workflows like CrewAI and AutoGen?
n8n, Dify, Ollama, Anthropic MCP/Claude Connectors, and OpenAI SDK facilitate multi-agents, hierarchical agents, and workflow automation.
What is Fathom and Opik in this context?
Fathom adds bot-less meeting modes and tracks KPIs; Opik monitors agent performance, aiding hallucination fixes in workflows.
How to reduce AI hallucinations in agents?
Hallucination reduction starts with workflow design, not just tools, using structured multi-agent systems for complex automation.
What is the rise of AI agent hierarchies?
Hierarchical agents improve complex workflow automation, moving beyond single LLMs to coordinated multi-agent systems.
What are best workflow tools for AI agents?
Top tools for agent-based workflows include those supporting dynamic paths, unlike fixed automation, for adaptive AI tasks.
How do multi-agent systems enhance research?
Tools like GPT-4 research assistants and lightweight agent communication enable efficient, API-free multi-agent interactions.
MS Fabric OneLake agents (dev/data eng); Agent Builder/Copilot/Teams (M365 actions/policy); n8n/Dify/Ollama; hierarchical/multi-agent eng for complex workflows; GPT-4 research tutorial; OpenAI SDK; Fathom/Opik KPIs; lightweight inter-agent comms; hallu fixes.