aicoolies logo
Conductor.build logo

Conductor.build

Run a team of AI coding agents in parallel on your Mac

Share
free
Visit Website →

Web-based dashboard for monitoring and managing multiple AI coding agent sessions. Provides real-time visibility into what each agent is doing, resource consumption, and task progress across your team. Centralizes agent management so team leads can assign work, review outputs, and track productivity across multiple concurrent AI-assisted development workflows from a single interface.

Conductor.build is a macOS application for orchestrating teams of AI coding agents in parallel, enabling developers to run multiple Claude Code, Codex, and other coding agent instances in isolated workspaces derived from git worktrees. It solves the challenge of managing concurrent AI-assisted development by providing a visual dashboard where developers can create, monitor, and review the work of multiple coding agents simultaneously, each operating on its own git branch without conflicts. Founded by Jackson de Campos and Charlie Holtz in San Francisco, Conductor has quickly gained traction with engineers at companies like Linear, Vercel, Ramp, Notion, and Stripe.

Conductor provides isolated git worktree creation for each agent instance, a unified dashboard showing what each agent is working on, streamlined code review workflows for inspecting and merging agent-generated changes, and integration with Linear for starting work directly from issue trackers. The application handles the complexity of managing multiple terminal sessions, git branch synchronization, and merge conflict prevention, letting developers focus on task assignment and code review rather than agent management logistics. Conductor has grown 250 percent month-over-month and raised $2.8 million from top Silicon Valley investors, reflecting strong demand for multi-agent orchestration tools.

Conductor.build targets senior developers, tech leads, and engineering teams who want to parallelize their development workflow by delegating multiple tasks to AI coding agents and reviewing the results through a streamlined interface. It is currently available exclusively for macOS and integrates with popular terminal-based coding agents including Claude Code and OpenAI Codex CLI. The tool is particularly valuable for teams working on multiple features, bug fixes, or refactoring tasks simultaneously, where the ability to run and monitor several AI agents in parallel can dramatically accelerate development velocity while maintaining code quality through structured review workflows.

Pricing

Free app (bring your own Claude/Codex subscription or API key)

Platforms

macOS (Windows waitlisted)

Categories

Tags

Use Cases

Alternatives

emdash ai sh

Emdash

Top Pick

Open-source agentic development environment for parallel AI agents

Emdash is an open-source agentic development environment for orchestrating many coding agents in parallel. It runs each agent in an isolated Git worktree, presents tasks in a dashboard, auto-detects installed CLIs, works with 25+ agents including Claude Code, Codex, Cursor, Amp and Gemini, and supports MCP server connections for tool access.

open-sourceOpen Source

Parallel Code

Run Claude Code, Codex, and Gemini agents in parallel with isolated branches

Open-source desktop app for orchestrating multiple AI coding agents simultaneously. Auto-creates git worktrees per agent and symlinks shared dependencies to prevent conflicts between parallel tasks. Designed for teams and power users who want to run several AI agents on different features or bugs at the same time, maximizing throughput while keeping each agent's changes cleanly isolated.

open-sourceOpen Source
T3 Code logo

T3 Code

Open-source GUI for managing AI coding agents with your own API keys

Unified desktop interface for Codex and Claude Code with a model selector dropdown. Features a git-integrated sidebar, parallel task and thread management, chat and plan modes, and customizable agent access levels. Run via desktop app or npx for instant access. Brings visual project management to terminal-based AI coding agents without sacrificing their command-line power.

open-sourceOpen Source
Jean logo

Jean

AI agent dev environment with parallel git worktrees, magic git commands, and Linear integration.

Jean is an open-source desktop dev environment for AI agents from coolLabs (the team behind Coolify). It runs multiple coding agents — Claude Code, Codex, and others — in parallel inside isolated git worktrees, each with its own chat session and terminal. Magic git commands handle commits, PR descriptions, code reviews, and merge conflicts with AI assistance, while built-in Linear and GitHub integrations load issue context into every session.

open-source

Related Tools

Claude Code logo

Claude Code

Top Pick

Anthropic's agentic coding CLI

Anthropic's agentic CLI coding tool that delegates complex tasks to Claude directly from the terminal. Understands entire codebases via automatic context gathering, edits multiple files, runs shell commands, and manages Git workflows autonomously. Supports CLAUDE.md for persistent project instructions, integrates with VS Code and JetBrains, and uses Claude Opus/Sonnet with extended thinking for complex architectural decisions. Built for terminal-first developers.

paidOpen Source
Cursor logo

Cursor

Top Pick

The AI-first code editor

AI-first code editor built as a VS Code fork that deeply integrates LLMs into every part of the development workflow. Features Tab autocomplete with multi-line predictions, Cmd+K inline editing, AI chat with full codebase awareness, and Agent mode for autonomous multi-file edits with terminal execution. Supports GPT-4, Claude, and more with automatic context from project files and docs. Includes privacy mode for SOC 2 compliance. The leading AI-native IDE with 100K+ paying users.

freemiumTelemetry
OpenCode logo

OpenCode

Top Pick

Open-source AI coding agent for the terminal

Open-source terminal-based AI coding agent built in Go by the SST team, with a rich TUI (Bubble Tea) supporting 75+ model providers including OpenAI, Anthropic, Gemini, Bedrock, Groq, and OpenRouter. Features vim-like editing, persistent SQLite sessions, and LSP integration for 40+ languages. Fully free with no vendor lock-in, it has rapidly grown to 95k+ GitHub stars.

open-source
Codex logo

Codex

Top Pick

OpenAI coding agent for app, editor, terminal, and cloud work

Codex is OpenAI's coding agent for software development across the Codex app, editor, terminal, and cloud tasks. It helps write, review, debug, refactor, and automate code, with ChatGPT plan access for managed surfaces and API-key usage for CLI, SDK, and IDE workflows. The open-source CLI and SDK support local repository work, while cloud features add GitHub review, Slack/Linear integrations, worktrees, skills, MCP, and automations.

freemiumOpen Source

Accomplish Coworker

Open-source desktop AI coworker for browsing and code execution.

Accomplish Coworker is an MIT-licensed open-source AI coworker that runs on the desktop, combining computer-use style browsing with code execution so agents can research, implement, run, and debug workflows in one local environment.

open-sourceOpen SourceTelemetry
OpenUI logo

OpenUI

Open-source UI generation from natural-language prompts

OpenUI is an Apache-2.0 design-to-code tool from W&B that turns natural-language interface prompts into live HTML previews and frontend code. Teams can run it locally or with Docker, connect OpenAI, Groq, LiteLLM-compatible providers, or Ollama, and export generated UI toward React, Svelte, Web Components, and related workflows. It fits rapid UI mockups where developers want editable code instead of screenshots.

open-sourceOpen SourceTelemetry

Comparisons