Visual debugging, tracing, and replay for agent workflows
AgenticLens helps you understand what your AI agent actually did. Debugging agent workflows today means reading long, messy logs and guessing what went wrong. There’s no clear flow, no visibility into latency, and no easy way to replay execution. AgenticLens turns your logs into a visual workspace: • Flow view • Timeline • Replay It works locally with your existing logs (Claude Agent SDK supported today), with no setup and no data leaving your machine.
Hey everyone 👋
I built AgenticLens because debugging AI agents felt broken.
Most of the time you're just scrolling through logs trying to understand:
- what happened
- where it slowed down
- why it behaved a certain way
I wanted something closer to DevTools — where you can *see* the flow, not guess it.
AgenticLens is an early step in that direction.
Would love to hear how you're debugging agents today and what’s missing 🙌
About AgenticLens on Product Hunt
“Visual debugging, tracing, and replay for agent workflows”
AgenticLens launched on Product Hunt on April 17th, 2026 and earned 63 upvotes and 1 comments, placing #44 on the daily leaderboard. AgenticLens helps you understand what your AI agent actually did. Debugging agent workflows today means reading long, messy logs and guessing what went wrong. There’s no clear flow, no visibility into latency, and no easy way to replay execution. AgenticLens turns your logs into a visual workspace: • Flow view • Timeline • Replay It works locally with your existing logs (Claude Agent SDK supported today), with no setup and no data leaving your machine.
On the analytics side, AgenticLens competes within Open Source, Developer Tools and GitHub — topics that collectively have 620.5k followers on Product Hunt. The dashboard above tracks how AgenticLens performed against the three products that launched closest to it on the same day.
Who hunted AgenticLens?
AgenticLens was hunted by Amit Mishra. 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 AgenticLens including community comment highlights and product details, visit the product overview.
Amit Mishra