HomeAI & Machine LearningAI Agent Systems: Multi-Agent Orchestration & Tool Calling

🤖 AI Agent Systems: Multi-Agent Orchestration & Tool Calling

Watch an orchestrator dispatch tasks to LLM agents that reason (ReAct), call MCP tools, and read/write shared memory. Tune agent count, task complexity and message speed to see throughput and steps-to-completion change live.

AI & Machine Learning3DModerate60 FPS
ai-agent-systems-multi-agent-orchestration-tool-calling ↗ Open standalone
⚙ Under the hood

Watch an orchestrator dispatch tasks to LLM agents that reason (ReAct), call MCP tools, and read/write shared memory. Tune agent count, task complexity and message speed to see throughput and steps-to-completion change live — the mechanism behind LLM Agents, MCP, OpenAI Assistants API and AutoGen.

Three.jsAI agentsReActMCPmulti-agentAutoGentool callingInstancedMesh

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install

What did you find?

Add reproduction steps (optional)