AI Manager
A dashboard and MCP server for the sessions, questions and decisions in an AI-assisted development workflow.

Fact sheet
- Tracks
- Sessions, subagents, worktrees
- Surfaces
- Every question waiting on you
- Reports
- Usage and cost
01The problem
When several coding sessions are running at once, the work becomes difficult to follow. A question can sit unanswered in one session while another finishes or creates a new worktree.
02The engineering
I built AI Manager, a dashboard and MCP server that brings sessions, subagents and worktrees into one place. Usage and cost reporting provide context for the work.
Sessions
Subagents
Worktrees
MCP server
Dashboard
Question waiting
Answer
Session continues
Interactive model · sample data
API migrationWorking through the implementation
RunningInterface reviewA decision is waiting on you
Needs youTest suiteChanges verified
CompleteQuestion from Interface review
Which theme should be the default?
03The outcome
Questions waiting for input are surfaced in the dashboard, with a path to answer and let the session continue.
