SwarmTrace - Time-travel debugger for multi-agent AI pipelines

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Debugging multi-agent LLM systems is painful. When a pipeline fails, you don't know which agent caused it and have to re-run everything from scratch. SwarmTrace fixes this: - Span tree viz — every agent action as an OTel graph - Time-travel replay — fork any step, edit prompt, replay downstream only - LLM-as-judge — auto scoring of each agent's output - WebSocket streaming, OTLP export, PyPI SDK No sign-up — click "Try Demo →" on the login page.

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Hey PH! 👋 I built SwarmTrace after spending too many hours re-running entire agent pipelines to debug one bad prompt. The core insight: multi-agent debugging needs the same primitives as distributed systems tracing — parent-child spans, state snapshots, and checkpoint replay. SwarmTrace brings that to LLM agents. Would love feedback: what's your biggest pain point debugging multi-agent systems today?