jpbreda/mike
A Mike fork exploring a path to run AI features with self-hosted models.
jpbreda's fork is pointed at a more self-directed deployment story for Mike: alongside commercial AI services, it explores connecting the product to OpenAI-compatible models hosted locally, including vLLM.
That could suit organisations that want more control over where their AI runs while keeping commercial-provider options available. The work is associated with @jpbreda and remains an early, focused direction rather than a broad product rework.
What's in it
- Self-hosted AI option Explores using OpenAI-compatible locally hosted models, such as vLLM, alongside existing commercial AI choices.
Direction
infrastructureintegration
Activity
Threads of work (detailed view)
jpbreda teaches Mike to run on a model you host yourself
A new option lets Mike talk to a privately-hosted AI instead of only the commercial cloud services.
jpbreda adds vLLM as a third LLM provider alongside Claude and Gemini
This fork wires a self-hosted vLLM endpoint into Mike's provider system, letting operators swap the model layer to a local inference server instead of routing all requests through Anthropic or Google. The PR closed without merging upstream on May 10.
Pull requests (detailed view)
⛔ Closed without merge (1)
jpbreda · opened 6mo ago · closed 6mo ago