What Autoplans does
Autoplans holds the plan your coding agent works from. It turns a project idea into an editable backlog, then makes that backlog reachable from the agent and the editor you already use.
The core
AI planning agent
Describe a project in plain language and it becomes a structured backlog of epics, tasks, and subtasks. Priorities and dependencies come with it. Everything is editable before any code is written.
- Chat with the agent to refine the plan
- Subtasks, priorities, statuses, and dependencies
- Syncs to a .autoplans folder in the repository
- The whole project drawn as a task map
Coding agents and GitHub pull requests
Hand a task to an agent and come back to a pull request. The agent creates a branch, commits the work, and opens the PR. Commits are linked back to the task they came from.
- Agent Console in the browser for working alongside it
- Long-running runs on your repository
- Public and private repositories
- A task can also be assigned to the GitHub Copilot coding agent
MCP server and editor integrations
A hosted MCP server exposes your account to any client that speaks the Model Context Protocol. Authenticate with an API key and your agent can read and change projects and tasks.
- Around forty tools covering projects, tasks, comments, and assignments
- Streamable HTTP, with an stdio bridge for clients that need it
- First-party apps: VS Code, Obsidian, OpenCode, desktop, CLI
- The Obsidian plugin can serve your vault over MCP too
Also included
Prompt generator
Turn a project or a task into a prompt written for a specific AI coding assistant, with the project context already folded in.
- Targets GitHub Copilot, Bolt.new, v0.dev, Lovable.dev, and Cursor
- Uses the project and task you generated it from
- Copy-paste ready, and saved against the project
Durable task orchestration
Long-running agent work is run as a Temporal workflow, so a run survives a restart instead of silently dying halfway through.
- Automatic retries on failure
- Step-by-step workflow logs
- Live status while a run is in progress
Analytics
Charts for how a project is actually moving: task status over time, completion trend, priority spread, and which projects are busiest.
- Task status and completion-trend charts
- Priority distribution across a project
- Top projects by activity
- Token usage against your plan
Multi-model support
Bring a key from Anthropic, OpenAI, Google, or OpenRouter and pick the model you want. The desktop app and CLI connect straight to providers instead.
- Claude, GPT, Gemini, and others on your own key
- Desktop and CLI use your Claude subscription and Copilot token directly
- Local Ollama models are detected and used like any other provider
- An Auto router prefers models that cost you nothing extra
Where it runs
Every one of these is published and installable today.
Start with one project idea.
Describe it, get a backlog, and point your agent at it.