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AgentReplay

Trace, Eval, compare, and improve AI agents locally

Open Source
Developer Tools
GitHub
Visit WebsiteSee on Product Hunt

Hunted bysushanth Reddysushanth Reddy

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.

Top comment

Would love feedback from anyone building with AI agents 🙏 What’s the hardest part for you right now — debugging, evals, or prompt iteration?

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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.

AgentReplay was featured in Open Source (68.3k followers), Developer Tools (511.1k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 96.3k products, making this a competitive space to launch in.

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.

Want to see how AgentReplay stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.