manueljpconde wires Mike up to run on your own servers

A fourth AI option lands in the mikeEU fork: a 'Local model' provider that points Mike at an LLM running inside your own walls.

infrastructurecompliance

Until now, Mike could only talk to the big three commercial AI providers - OpenAI, Anthropic, and Google - which means client material has to leave the building to get an answer. manueljpconde's fork adds a fourth option that lets the firm plug in a model running on its own hardware, via tools like LM Studio, Ollama, or vLLM (open-source runtimes that host an AI model locally and expose it the same way OpenAI does).

The wiring runs all the way through: backend, account settings, the model picker, and the prompts that nag users when a key is missing. It's a server-wide switch for now - one local model for the whole deployment, set by an administrator rather than chosen per user. The fork name and the choice of move both point the same way: a build aimed at firms that can't or won't send matter data across borders to a US AI vendor.

So what Relevant for European firms, regulated industries, and anyone whose GC has ever asked 'but where does the data actually go?' - this is the groundwork for running Mike entirely inside your own perimeter.

View this fork on GitHub →

Spotted something wrong? Or know the PR text has fresher detail than the writeup above?

Commits in this thread

2 commits from manueljpconde/mikeEU, oldest first. Source extracted verbatim from the harvested git log.

SHA Subject Author Date
c0361944 feat: add self-hosted local llm provider Manuel Conde 2026-05-09 ↗ GitHub
c8ef360f Merge pull request #2 from manueljpconde/codex/local-llm-provider Manuel Conde 2026-05-09 ↗ GitHub
Add self-hosted local LLM provider support

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