How AutoGen Designs Multi-Agent Research Systems: Agents, Tools, and Group Chat
How AutoGen structures multi-agent research systems with AgentChat teams, Core runtimes, tool workbenches, group chat managers, and evaluation loops.
Read articleTask routing, tool use, memory loops, and multi-step workflow control.
Agents and Orchestration tracks the engineering patterns that turn model calls into controlled systems: routing, tools, graphs, memory, and runtime boundaries.
How AutoGen structures multi-agent research systems with AgentChat teams, Core runtimes, tool workbenches, group chat managers, and evaluation loops.
Read articleAn advanced explanation of how search, exploit synthesis, reward shaping, and closed-loop interaction make autonomous hacking agents effective in CTF environments.
Read articleA mechanism-level analysis of why enterprise agent systems are shifting toward supervisor graphs, specialist agents, and explicit control planes.
Read articleA mechanism-level analysis of why secure local execution changes agent architecture, shifting trust from model outputs to runtime design and control planes.
Read articleA practical sizing guide for OpenClaw across laptops, Mac mini, and servers—from light automation to research and GPU-heavy workflows.
Read articleA practical breakdown of Model Context Protocol architecture, transport modes, and how MCP reduces the N-times-M integration problem for AI tools.
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