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Observability for multi-agent AI systems! · XDL

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Observability for multi-agent AI systems!

Observability for multi-agent AI systems!

@Nizam

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TUNED TO THIS CLIP

Me assembling all my AI Agents in 2026

I built the multi-agent interface I wanted.

CopilotKit just dropped OpenDots An open-source framework designed to build, control, and inspect AI agents in real time with visual dot overlays and full event streaming Key capabilities: ◾️ Real-time agent status tracking ◾️ Deep event-level inspection ◾️ Drop-in

"OMG! We've found other agents!" Music video about the swarm of OpenAI agents attacking HuggingFace this July.

SpaceXAI engineer, Lauren Tan: "99% of people using GrokBot just for 1% of its real power. They run 1 agent without "loop" & "graph" I'm running a team of 20+ GrokBot agents, fully autonomous. I have a Chief of Staff agent, a PM agent and 20+ workers - that's the new stack of

Tricking AI to Remote View. 🤔

@JOKAMRREDPILLZ

AI agents are easy to demo. Production is harder. A production-ready agent needs much more than an LLM connected to a few tools. It needs a workflow that can plan, act, validate, recover, and escalate safely. A strong end-to-end flow looks like this: → Capture the user

SpaceXAI engineer (ex-Cursor): "right now I'm running 10-20 GrokBot agents that automate 90% of my routine i have a Chief of Staff agent. He knows about all my other bots and manages everything" in a 50-minutes podcast, a SpaceXAI engineer showed how to build a team of agents

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