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AgentReplay
Trace, Eval, compare, and improve AI agents locally
The open-source, 100% local observability and evals platform for AI agents. Trace every LLM call, evaluate with 20+ evaluators — all without sending data to the cloud.
Would love feedback from anyone building with AI agents 🙏
What’s the hardest part for you right now — debugging, evals, or prompt iteration?
About AgentReplay on Product Hunt
“Trace, Eval, compare, and improve AI agents locally”
AgentReplay was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #148 on the daily leaderboard. The open-source, 100% local observability and evals platform for AI agents. Trace every LLM call, evaluate with 20+ evaluators — all without sending data to the cloud.
On the analytics side, AgentReplay competes within Open Source, Developer Tools and GitHub — topics that collectively have 620.6k followers on Product Hunt. The dashboard above tracks how AgentReplay performed against the three products that launched closest to it on the same day.
Who hunted AgentReplay?
AgentReplay was hunted by sushanth Reddy. 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 AgentReplay including community comment highlights and product details, visit the product overview.
sushanth Reddy