Problem Statement
Currently, monag can monitor processes, worktrees, and basic issue candidates. However, for a massive ecosystem (>4200 repos, 300+ orgs, multiple parallel autonomous agents), operators require a holistic, algorithmic workspace summary that:
- Encompasses all organizations and repositories (via orgs.txt, github.repo.csv, and GitHub GraphQL/Search).
- Audits the active agent fleet (processes, PIDs, active worktrees, uncommitted changes) to prevent lease and worktree collisions.
- Categorizes pending issues into actionable classes:
- Strategic / architectural issues (e.g. cross-repository state engines).
- Core / personal repository backlogs.
- Quality & code-smell hygiene queues (e.g. cyclomatic complexity, shotgun surgery, data clumps).
- Operator and IDE integration alerts (e.g. MCP bootstrap, Planfile API availability).
- Fleet health diagnostics.
- Synthesizes deterministic, conflict-free, step-by-step guidance for developers and autonomous agents according to Wellmanifest Worktrees v5 policy.
Problem Statement
Currently, monag can monitor processes, worktrees, and basic issue candidates. However, for a massive ecosystem (>4200 repos, 300+ orgs, multiple parallel autonomous agents), operators require a holistic, algorithmic workspace summary that: