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AgentProp

Graph control for AI agents

AgentProp helps AI builders optimize agent and multi-model workflows by routing tasks to the right model, verifying risky steps, repairing failures, and tracking cost, tokens, latency, and quality.

Top comment

Docs: https://aryan5v.github.io/AgentP... GitHub: https://github.com/aryan5v/Agent... (Apache 2.0) Claude Code / Codex users: there's an MCP server, skill and plugin bundle, your coding agent can analyze and supervise its own workflow.

About AgentProp on Product Hunt

Graph control for AI agents

AgentProp was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #160 on the daily leaderboard. AgentProp helps AI builders optimize agent and multi-model workflows by routing tasks to the right model, verifying risky steps, repairing failures, and tracking cost, tokens, latency, and quality.

On the analytics side, AgentProp competes within Open Source, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how AgentProp performed against the three products that launched closest to it on the same day.

Who hunted AgentProp?

AgentProp was hunted by Aryan Kumar. 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 AgentProp including community comment highlights and product details, visit the product overview.