Build teams of AI agents that collaborate, automate workflows, and complete complex tasks together.
cadre
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About cadre
cadre provides a desktop application that turns locally installed AI coding agents into a managed workflow. Users create tasks with descriptions, acceptance criteria, images and tags, then move them through customizable Kanban columns that route work to specific agents. Each column can be configured to use an installed CLI login or a saved API key, allowing teams to leverage existing subscriptions and provider relationships without new billing. The application tracks active executions, approvals, and blockers in a single workspace, presenting plans, diffs, and questions for human review before proceeding. Agents execute in parallel where possible, with execution order and reasoning effort configurable per column. The tool synchronizes with external trackers such as Linear and Jira in both directions, importing issues as tasks and pushing status updates back when work completes. Local boards can be shared online to enable cross-device collaboration, invites, and team-wide visibility as projects scale.
Key features
- Kanban board with custom columns and sections
- Task routing by agent, tag, and role
- Parallel execution of multiple tasks
- Human approval gates for plans and code changes
- Local task execution with CLI or API key authentication
- Linear and Jira synchronization
- Cross-device sync for shared workspaces
- Execution order and reasoning effort controls per column
Use cases
- Managing parallel AI coding tasks across multiple agents
- Orchestrating code refactoring and security hardening with approval gates
- Synchronizing issue tracker tasks with AI agent workflows
Pros
- Kanban-style visual workflow for AI coding agents
- Supports multiple agents including Claude Code, Codex, Grok, Opencode, and OpenAI-compatible models
- Local execution with CLI logins or BYOK API keys
- Parallel task execution with configurable column agents
- Synchronization with Linear and Jira issue trackers
Cons
- No cloud-hosted version available
- Requires local installation of coding agent CLIs or API keys
- Limited to desktop platforms (Windows, macOS, Linux)
- No free tier or open-source option mentioned
Frequently asked questions about cadre
What is cadre and what does it do?
cadre is a desktop application that orchestrates locally installed AI coding agents through a Kanban-style workflow. It allows users to create tasks, route them to specific agents, review plans and diffs, and approve outcomes from a single workspace.
Who is cadre designed for?
cadre is designed for developers and teams who want to manage AI coding agents with human oversight. It suits those who prefer to use their existing agent subscriptions and provider relationships without introducing new billing or logins.
How does cadre handle billing and agent credentials?
cadre does not charge per token or require new billing. Users can leverage existing CLI logins or saved API keys for agents, with credentials stored securely in the OS keyring. The orchestration layer is what cadre charges for, not the agent usage itself.
Can cadre integrate with external task trackers like Linear or Jira?
Yes, cadre synchronizes with external trackers such as Linear and Jira in both directions. It can import issues as tasks and push status updates back when work completes, allowing teams to keep using their existing workflow tools.
How do agents execute tasks in cadre?
Agents execute tasks in parallel where possible, with execution order and reasoning effort configurable per column. Each column can be set to use a specific agent, and tasks move through customizable Kanban columns with human review gates before proceeding.
Can I start using cadre locally and then scale to a team?
Yes, cadre allows users to begin with a free local board and later scale to online workspaces with cross-device sync, invites, and collaboration features as the project or team grows.
