ClawTrace: Orchestrate 1000+ AI Agents - Sub-Millisecond Telemetry – Command Center for AI Swarms

Current orchestrators lag by 2-3 seconds due to HTTP polling delays, killing real-time control. Why Builders Love It Live Monitoring: SSE-powered real-time streams—no more blind spots in agent behavior. Smart Security: Zero-knowledge guardrails, auto-redaction of secrets/tokens, policy enforcement at scale. Zero Latency Telemetry: 0.1ms responses across swarms; execute commands fleet-wide instantly. Perfect for indie devs scaling AI automations,

I'm Alex, the creator of ClawTrace I built this because I lost $500 in one night. I had a swarm of autonomous agents running a research task, and one of them got stuck in an infinite `while(true)` loop. By the time I woke up, my OpenAI bill was on fire. I realized two things: 1. Polling is too slow. Waiting 3 seconds to see if an agent is broken is 3 seconds too long. 2. Prompts aren't guardrails. Asking an LLM nicely, "Please don't spend money," doesn't work when it hallucinates. So I built ClawTrace. It's an orchestrator that uses WebSockets (not HTTP) to maintain a 0.1ms heartbeat with every agent. It lets you set Cost Velocity Policies > “If this agent spends > $1.00/minute, cut the connection.” It happens at the network layer. The agent doesn't get a vote. We are live in Open Beta. The Free Tier handles up to 1 agent. The Pro Tier is for serious swarm operators. I'll be hanging out in the comments all day—would love to hear how you handle "rogue" agents! 🤖💸

ClawTrace: Orchestrate 1000+ AI Agents - Sub-Millisecond Telemetry – Command Center for AI Swarms

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