Jeannie

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AI agent · Open source

UniPi — extensions that help an AI coding agent finish long work

Open-source add-ons for the Pi coding agent: memory between sessions, modes for long tasks, and a board to watch it all.

UniPi Kanboard dashboard: tasks waiting, running agents and a throughput chart

What it is

Pi is a small AI coding agent that works in the terminal — it reads files, edits them and runs commands. UniPi is a set of open-source extensions for it (MIT licence), and version 3 is now in alpha.

The problem it solves

AI agents are good at short jobs. On long ones they forget what happened yesterday, lose track of the goal, or stop halfway. That is the gap between an impressive demo and something you can rely on.

How it works

Memory: facts and decisions are saved as plain files and searched again in the next session. Work modes (goal, ralph, swarm, graph) keep the agent on a long task until it is really done. Fusion pairs a lead model with a sidekick model. And Kanboard gives a dashboard of what is waiting, what is running and how much got finished.

Why it matters for a business

An AI agent that remembers your context and finishes the job is the difference between "we tried AI once" and AI that does real work every day. That is the standard I hold the agents I build for clients to.

Scope

  • Memory between sessions
  • Long-task modes
  • Kanban dashboard
  • Open source (MIT)

AI Automation & AI Agents — About this service

Have something similar in mind?

Want to see how one of these actually runs? Ask me and I will show you on WhatsApp — it is clearer than a screenshot.