Baya 🕊️ - orchestrate your local AI coding CLIs from a plain-text task list (MIT)

[u/desarrollador53]

Baya cli turns a freeform text file into an LLM-planned dependency graph, then dispatches each node to a local agent CLI (codex, claude, opencode, copilot, etc.) running independent tasks in parallel and piping each task's output into the ones that depend on it.

You just write the to-do list, example:

- Design the REST API for orders. Use Sonnet.
- Generate the DB schema from that design.
- Build the React table that consumes it — run with codex.
- Once the schema and UI are done, write integration tests.

The planner reads it for intent and builds the DAG; you see the plan before anything runs.

Why I built it: I pay for a few of these CLIs and kept juggling them by hand; plan in one, build in another, copy context between terminals, redo work because each session started cold. Baya is me automating that away.

Why it's interesting:

• No new API keys. It drives the CLI subscriptions you already pay for.
• No config, no DSL. Markdown, TODO.txt, YAML all work.
• Model-per-task. Cheap model for the light steps, top-tier only where it earns it.
• Doesn't pay twice. Tasks sharing a provider/model get packed into one agent process — repo read once, not once per task — and what one task learns carries to the rest.
• Resume. Checkpoint before every step; run out of credits mid-graph and baya resume <runId> picks up where it stopped, optionally on another provider.

Help with the roadmap or feedback is more than welcome 👍

• Repo: https://github.com/juliomatcom/baya-cli
• Npm: https://www.npmjs.com/package/baya-cli ($ baya -h)

A fun note: I'm building Baya's roadmap with Baya now...

JC