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Backplane

AI AppsWorkflow AutomationOpen Source · Docker

Backplane is an open-source platform that integrates team workflows and AI tools on a shared Kanban board. It supports self-hosting, ensuring data privacy and control, and connects with AI tools through the MCP layer.

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Backplane is a comprehensive open-source platform designed to streamline team workflows by integrating both human and AI tool interactions on a shared Kanban board. It allows teams to manage work, decisions, dependencies, and review results in one centralized location. The platform is self-hosted, meaning it runs on your own infrastructure, ensuring complete control over your data without any telemetry collection.

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Backplane connects compatible AI tools through its MCP (Multi-Client Protocol) layer, allowing seamless integration and interaction between various tools. The platform supports runners like Claude Code and Codex CLI, which can be configured with your own subscriptions and keys. This ensures that each client receives a scoped toolset tailored to their specific needs, avoiding the confusion of overloading sessions with unnecessary tools.

The platform is built to be highly configurable, with features like execution loops and skill management. Execution loops allow for repeated tasks to be automated within set boundaries, while skills can be saved and reused across different projects. Backplane emphasizes human oversight, ensuring that important actions and completed work are always reviewed by a person.

Backplane is developed by the valaris.studio team and was initially used as an internal tool for managing software projects. It is now open-sourced to allow other teams to benefit from its capabilities. While the open-source version is available for self-hosting, a cloud version is planned for those who prefer a managed service. Enterprise features are also in the works, focusing on advanced governance and centralized management.

Overall, Backplane offers a robust solution for teams looking to integrate AI tools into their workflow while maintaining control over their data and processes.

  • CategoryWorkflow Automation
  • Pricing ModelOpen Source
  • DeploymentSelf-Hosted
  • PlatformsDocker

  • Open-source platform

  • Self-hosted on your infrastructure

  • Integrates with AI tools via MCP

  • Supports Claude Code and Codex CLI

  • Scoped toolsets for clients

  • Execution loops for automation

  • Skill management and reuse

  • Human oversight for reviews

  • Docker-based deployment

  • No telemetry collection

  1. Start the platform: Set up the environment and launch the platform.

  2. Connect the MCP layer: Add the MCP server to compatible clients.

  3. Connect a runner: Define roles and limits for multi-step work.

  4. Use the board: Manage tasks and updates on the shared Kanban board.

  • Project Management
  • AI Tool Integration
  • Data Privacy
  • Automation
  • Skill Reuse

Backplane Reviews

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