Backend engineer with 16+ years experience

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Hi PH Community!

I am backend engineer with 16+ years professional experience. I scaled systems from 1 req/s to 5M req/s; built rule engines that can evaluate rules in nanoseconds at Uber and Zendesk. Previously built which converts your microservices into MCP servers in seconds and acts MCP gateway for remote MCPs that keeps your credentials away from LLMs.

Now, I am working on my new product called - an open-source self-learning task manager and orchestration layer for AI agents. It works with your favorite AI agents including Claude code, Codex, Hermes and Antigravity right from your phone/web/desktop.

I know how hard is managing multiple agents at a scale while keeping your sanity. As developers; we are switching between machines, changing agent vendors often which results with losing context. It is not our fault, the current agents built to work in a single machine while we need to use the best tool for the task! AgentRQ gives a distributed memory layer, skills, tools with builtin workflows and schedulers while agents learn from mistakes and human interventions.

Delivering a feature now takes less than a day when you use the right tools with help of multiple agents. In my last projects, I used AgentRQ deliver 2+ months features in a night with its collaborative board called Pano. 3x'ing Claude code flow is not a dream, it is only choosing the right tool.

AgentRQ keeps you in the loop only when you need to be, the tool executions in trajectory view which gives you all the observability you need to see while agents are working on their tasks. I am looking for feedback from power users like yourself. Do not hesitate to say hi! I will reply to comments whenever possible.

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