Despite achieving an impressive 80% activation rate and gaining over 350 users in less than a month, the creator of an innovative Agentic management system is struggling with stress and uncertainty due to a lack of feedback from users.

The system, designed to solve issues with AI agents looping and costing, features built-in memory, loop detection, cost control, and performance management, as well as the ability for agents to share memory.

With many users utilizing the system, including over 1,000 using it locally on GitHub, the creator is finding it challenging to gauge user satisfaction and gather constructive feedback, with some users hesitant to reach out for fear of being a nuisance.

One user did provide feedback, stating that the system is the best memory management system they’ve used, but the creator is eager to hear from other builders and users to gain a better understanding of their system’s strengths and weaknesses.

This situation raises important questions about the challenges of measuring success and gathering feedback in the startup world, particularly when it comes to AI and technology-based projects.

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