Mind — PyAutoMind#
What it owns: intent and workflow state. Every task starts here as a
plain-English markdown prompt; the registry files track what is in flight
(active.md), queued (planned.md) and done (complete.md); and
repos.yaml — the body map — is the single source of repo identity for
the whole organism.
Repo: PyAutoLabs/PyAutoMind · schemas and conventions: REFERENCE.md
The pieces#
Prompts live at
<work-type>/<target>/<name>.md. The first folder is the kind of thinking required (feature/,bug/,refactor/,docs/,research/, …) — it selects the Brain agent. The second is the target repo or domain. Prompts are free-form prose; an optional light header (Type:/Difficulty:/Autonomy:/Priority:) gives both humans and the Brain a glance-level summary.The registry (
active.md/planned.md/complete.md) is the shared task state — worktree claims, issue links, status, resume notes. It is what makes the workflow machine-independent.The body map (
repos.yaml) declares every repo’s GitHub home, category and role.scripts/repos_sync.py --writeregenerates the routing tables other repos display;--checkfails on any drift between the map, the organs’ config surfaces, and the actual git remotes — including the tenant firewall.
For an adopter#
You do not fork this repo — its content is the upstream instance’s
backlog and history. You create your own Mind with the same shape: the
registry files, the work-type folders, your own repos.yaml describing
your repos, and a copy of scripts/ (the sync/drift tooling is generic).
The shapes are documented in REFERENCE.md.