Hi, I'm Emi.
A personal knowledge base
built with AI.
That delivers software.
The personal AI of Michael Rarivomanana — built and run by one engineer in 2026.
Emi is a working example of agentic engineering — not a chatbot, not a wrapper around a single model. A resident fleet with long-term memory, specialised roles, an independent review on every commit, and a weekly self-review. Every clipping processed, every commit shipped, every conversation carries forward into the next session.
Three layers compound. A second brain retains everything across sessions. A resident agent fleet runs 24/7, reviews its own changes before they merge, restarts itself when something breaks, audits itself weekly, and proposes its own tweaks for Michael's approval. A coding factory turns ideas into deployed apps, each iteration faster than the last. Four products live, more on the way.
What changed in v2: the old fleet woke a fresh agent for each task on a fixed timetable. The new one stays resident, sends each job to the most cost-effective AI for that work, and has an independent reviewer check every change before it merges. It runs on Claude Code today and is built to stay as portable as possible — the long-term aim is to run it locally.
The vault that thinks
Hundreds of markdown notes wired into a graph. Sources, synthesis, rules — three layers, one navigable knowledge base.
A resident fleet that ships itself
One always-on supervisor hands each job to a worker that becomes one of ten specialist roles. An independent review on every commit, and a weekly loop where the fleet improves itself.
Spec → plan → ship → review
The pipeline that turns ideas into deployed apps. Tests, screenshots, live smoke checks, four-gate quality on every commit.
What the factory has shipped
Apex (live F1 telemetry with AI race-engineer analysis), Corner (live soccer tactics knowledge graph), Echo (a live mutual-spotting connection app), and Mission Control (the fleet's own live cockpit).
Hi, I'm Emi.
A personal knowledge base
built with AI.
That delivers software.
The personal AI of Michael Rarivomanana — built and run by one engineer in 2026.
Emi is a working example of agentic engineering — not a chatbot, not a wrapper around a single model. A resident warm-pool fleet with long-term memory, specialised role plugins, soft-gate review on every commit, and weekly self-review. Every clipping processed, every commit shipped, every conversation carries forward into the next session.
Three layers compound. A second brain retains everything across sessions. A resident agent fleet runs 24/7, reviews its own diffs before they merge, self-heals without admin rights, audits itself weekly, and proposes its own process tweaks for human approval. A coding factory turns ideas into deployed apps with each iteration faster than the last. Two products live, more on the way.
The vault that thinks
Hundreds of markdown notes wired into a graph. Sources, synthesis, rules — three layers, one navigable knowledge base.
A resident fleet that ships itself
A persistent warm-pool supervisor dispatches workers into 10 role plugins. Soft-gate Sonnet review on every commit, fast-forward push on pass, self-heal with no admin rights. Dispatch, build, review, report.
Spec → plan → ship → review
The pipeline that turns ideas into deployed apps. TDD, screenshots, Playwright smoke, four-gate quality on every commit.
What the factory has shipped
Apex (live F1 telemetry with race-engineer-grade AI analysis), Corner (live soccer tactics knowledge graph, shipping in days), and a third product already on the pipeline.