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TaskConductor

The control tower for AI-assisted development.

TaskConductor is a local-first desktop command center for people building software with multiple AI coding agents. It gives developers and founders a floating view of active workspaces, agent progress, blockers, and approval points so they can coordinate complex build workflows without losing context or handing control to a black box.

Agents
Blockers
Approvals
Next Actions
TaskConductor Command Center

See every agent, blocker, and approval at a glance.

TaskConductor is built for developers and founders coordinating multiple AI-assisted build sessions across tools, repos, tasks, and launch-readiness workstreams.

Connect a workspace

Start with one active project or repo and let TaskConductor track its agent, task, and approval state.

Watch the overlay

Keep agent cards, blockers, branches, and human decision points visible while working in coding tools.

Ask the operator

Use the command layer to ask what is blocked, what changed, and what should happen next.

Approve risky steps

Sensitive actions are routed through approval flows so the human stays in control.

Local First

A control tower beside your tools

TaskConductor is not a cloud SaaS, full IDE replacement, or generic task manager. It is a local-first command surface for coordinating AI-assisted software work while the user remains responsible for review, approvals, and production-impacting decisions.

VS Code
Cursor
Terminals
Repos
Branches
Approvals

Ready Now

Built for visible build operations

Desktop overlay experience for monitoring workspaces and agent cards
Local daemon/state hub for workspace, overlay, agent, chat, and approval state
Command/operator chat with grounded status and approval-related responses
Human approval and decision tracking flows
VS Code extension connector that can publish workspace metadata
Early-access website with download, pricing, security, contact, and legal pages
Public Stripe Payment Links for paid-plan CTAs
Local-first security model and public security reporting page

Honest Boundaries

Early access or developer preview framing should be used unless production release is confirmed.

Do not claim app-store approval, marketplace availability, or signed installer readiness unless verified.

Do not claim fully autonomous production deployment or unrestricted code execution.

Do not claim multi-machine cloud sync as ready; public framing is local-first.

Windows may show warnings for unsigned builds until code signing is completed.

Multi-Agent Visibility

Track what each AI coding agent is doing, which project or branch it belongs to, what is blocked, and what needs attention.

Local-First Command Center

Designed to run on the user's computer with workspace, overlay, agent, chat, and approval state coordinated locally.

Human Approval Points

Sensitive actions are designed to surface through approval and decision flows rather than happening silently.

Operator-Style Assistant

Ask what is blocked, what changed, or what should happen next using a command/chat layer grounded in workspace status.

Capabilities

What TaskConductor does

Floating desktop overlay
Workspace and project state tracking
Agent activity cards
Blocker and approval tracking
Command/operator chat
VS Code extension connector
Local daemon/state hub
Early-access desktop app flow
Bring-your-own AI provider posture
Launch-readiness workstream visibility
Audience

Who TaskConductor is for

DevelopersFoundersTechnical operatorsSmall AI-assisted teamsProduct leadsEngineering leads
TaskConductor supports AI-assisted software coordination and may surface approvals for sensitive development actions. Users remain responsible for reviewing generated work, protecting credentials, validating changes, and complying with their own security, legal, deployment, and organizational approval requirements. TaskConductor should not be represented as a substitute for professional engineering review, compliance review, or human approval of production-impacting actions.
Engage with TaskConductor

Coordinate scattered AI sessions from one local command center.

The recommended first step is early-access use on one active project: connect or create a workspace, open the overlay, and track active agents, blockers, approvals, and next actions.