Self-Driving Repos (selfdrivingrepo.com) is a platform developed by Jan_Wilmake beginning April 8, 2026. It enables users to configure autonomous AI agents that run on a schedule against GitHub repositories, with strict budget controls and no coding required.
The core idea: a user defines a set of source repositories (containing raw data — notes, tweets, documents) and a target repository (where synthesised output is written). An AI agent runs on a configurable schedule (e.g., every 48 hours), reads the source repos, and updates the target repo. Each agent has a defined budget per run and per time period.
Jan's framing: "what if you could easily run self-driving repos with strict budget control in the cloud? no coding required" and "self-healing self-evolving knowledge bases... at scale".
The platform uses a selfdrivingrepo.json configuration file placed in the target repository. The schema includes:
Example use cases:
Jan identified a gap between Karpathy's viral LLM knowledge base concept and practical implementation: "this is really great but i cant keep my wiki up-to-date. i dont want to run all these background processes on my own computer". Self-Driving Repos solves this by running agents in the cloud on a schedule, with the repository itself as the interface.
The timing was notable — on the same day Anthropic launched their agent fleet dashboard (April 8, 2026), Jan joked: "oops... just started an agent orchestration startup today."
Self-Driving Repos is the orchestration layer in Jan's knowledge base pipeline:
This wiki (janwilmake/public-wiki) is itself a self-driving repo. The selfdrivingrepo.json in this repository defines an agent that synthesises public-facing content on a schedule.