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SwarmTrace
Time-travel debugger for multi-agent AI pipelines
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.
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?
About SwarmTrace on Product Hunt
“Time-travel debugger for multi-agent AI pipelines”
SwarmTrace was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #107 on the daily leaderboard. 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.
On the analytics side, SwarmTrace competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how SwarmTrace performed against the three products that launched closest to it on the same day.
Who hunted SwarmTrace?
SwarmTrace was hunted by Suraj Chopade. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SwarmTrace including community comment highlights and product details, visit the product overview.
Suraj Chopade