Multiple agents. One controlled workflow.
Coordinate coding agents in parallel — every task with its own worktree, context and visible next action.
- Parallel agents
- Isolated worktrees
- Context per task
Free · no card · runs locally
The agent proposed a plan — open the Plan tab in the drawer and approve it before any change.
I will map the current authentication flow before proposing any change.
Plan v1 waiting for your review — open the Plan tab in the drawer.
The agents aren't the problem. The coordination is.
Once Claude, Codex and Cursor work at the same time, the mess becomes operational: scattered sessions, orphaned branches and context trapped in the wrong tool.
Sessions everywhere
Work is split across terminals and windows with no reliable view of what is still running.
Parallel work collides
Branches and worktrees are easy to lose track of when several agents touch the same repo.
Context gets trapped
The best agent for planning is not always the best one for implementation or review.
Attention is the bottleneck
You need to know what is blocked, what needs approval and what is safe to merge.
Maestrly makes the task — not the terminal — the source of truth.
From task to reviewed diff — without losing the thread.
Keep your repo, editor and AI subscriptions. Maestrly coordinates the work around them.
- 01
Create the task. Pick the right agent.
Start a conversation or move a card. Choose the tool that fits the job: investigate, plan, implement, refactor or review.
Maestrly - 02
Isolate the work automatically.
Give each task its own branch and worktree so agents can run in parallel without stepping on the same files.
Maestrly - 03
Review the plan. Hand off when needed.
Approve the approach before code changes. Switch tools mid-task and carry the relevant context forward instead of starting over.
Maestrly - 04
See what needs attention.
Track queued, running, blocked and completed work. Add agent-powered columns for repeatable flows such as investigate → implement → review.
Maestrly
Control where agents usually create chaos.
Maestrly goes beyond launching a CLI. It keeps the state of the work visible and reviewable.
Everything the task needs, attached
Terminal, browser, code, debugger, plan and notes live with the conversation. Jump in without reconstructing state from scattered tabs.
Use the best agent for each stage
Let one tool plan, another implement and a third review the diff. The thread stays around the task instead of being locked to one model.
Turn repeatable work into a visible flow
Configure board columns by tool, model and prompt. Dispatch work automatically, watch progress and keep guardrails around autonomous runs.
A cockpit around your tools — not a replacement for them.
Maestrly coordinates the agents, editor and terminal you already use. It does not sell model access or hide the work behind another chat box.
Keep your tools. Lose the terminal sprawl.
Your code stays on your machine.
Coding tools, credentials, prompts, source code and agent output run locally. Maestrly sends only the account and service data required to operate the product.
- Coding toolslocal
- Credentialslocal
- Promptslocal
- Source codelocal
- Agent outputlocal
- Worktrees and brancheslocal
The full cockpit. Free for everyone.
Use Maestrly without a paid plan or paywall. Bring the AI subscriptions you already have; Maestrly coordinates them without reselling usage.
No plans. No locked features.
Optional contributions help fund development and operating costs, but never change what you can use.
Contributing is optional and does not unlock perks or priority access.
Stop managing parallel agents by hand.
Give every task its own worktree, context and agent — then see the whole system from one cockpit.