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One Roof

One Roof is a desktop application designed to manage multiple AI agents simultaneously, providing a unified interface to monitor their activities, costs, and interactions. It helps developers and teams orchestrate complex tasks by allowing various agents like Claude Code, Codex, and Gemini to collaborate on projects, ensuring you remain in control and informed about their progress and decisions.

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One Roof screenshot
One Roof screenshot

One Roof offers a novel approach to building with AI agents, consolidating their operations into a single, intuitive interface. It is neither an IDE nor a terminal, but a dedicated environment where a team of agents can work collaboratively. The platform supports a diverse range of agents, including Claude Code, Codex, Gemini, Kimi, and Antigravity, allowing users to leverage the strengths of each for different parts of a job.

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The application addresses common challenges faced when working with multiple agents, such as lost questions, missed overnight activity, overwhelming output streams, identical terminal appearances, performance slowdowns, and agents acting without explicit approval. One Roof tackles these issues by providing a structured workflow and clear visibility into agent actions.

Key functionalities include a personalized front page that highlights critical updates and pending decisions, an Inbox that centralizes all agent queries and responses, and real terminals that run sessions in the background, even when the app is closed. It also features a comprehensive history of agent activities, including steps, findings, errors, and hand-offs, searchable and filterable for easy review.

For repetitive tasks, One Roof introduces 'loops' that allow agents to work towards a goal until a specific check passes, such as tests running successfully. These loops operate in their own repository copies, ensuring user code remains untouched until approval. The platform also includes performance monitoring tools to track memory and CPU usage for each session, preventing system slowdowns.

While still in draft, an evaluation feature allows users to measure agents and models against public benchmarks or custom question sets derived from their own codebases, providing insights into performance and cost. One Roof prioritizes safety and user control, with agents defaulting to manual permission modes, requiring explicit approval for actions, and operating only within designated code folders. It is free, open-source, signed, and notarized, ensuring a secure and transparent environment for agent orchestration.

  • CategoryAI Agent Builders
  • Pricing ModelFree
  • DeploymentDesktop app
  • PlatformsmacOS

  • Unified agent management interface

  • Supports multiple AI agents (Claude Code, Codex, Gemini, Kimi, Antigravity)

  • Centralized Inbox for agent queries and responses

  • Persistent agent sessions running in the background

  • Comprehensive activity history and logging

  • Automated loops for repetitive tasks with approval gates

  • Performance monitoring for agent sessions (CPU/Memory)

  • Draft feature for agent and model evaluation/benchmarking

  • Manual permission modes for agent actions

  • Explicit approval required for agent edits and commands

  • Operates within designated code folders for security

  • Signed and notarized for macOS

  • Free and open-source under MIT license

  • Detects existing agent command-line tools and accounts

  • Displays subscription usage for various agents

  1. Download the app: Obtain the One Roof application for macOS 14+ with Apple silicon.

  2. Install: Unzip the downloaded file and drag One Roof to your Applications folder.

  3. Run setup: Launch the app to automatically detect signed-in agents, specify your code folder, and allow the background service (roofd).

  4. Start a session: Press ⌘N, define the task, select an agent and repository, then launch the session.

  5. Interact with agents: Respond to agent queries and prompts via the Inbox or directly in the terminal.

  6. Monitor progress: Use the Home page, History, and performance charts to track agent activity and system resources.

  • Orchestrating Multiple Agents
  • Collaborative Coding
  • Automated Testing Loops
  • Monitoring Agent Activity
  • Debugging Agent Performance
  • Secure Agent Interaction
  • Cross-Agent Workflow
  • Agent Evaluation

One Roof Reviews

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