Commit Land icon

Commit Land

Commit Land connects to GitHub and turns projects into evolving isometric buildings with activity-based status and human-readable updates. It also gives AI agents a visible role through an MCP server, timelines, and roadmap actions.

Commit Land

What is Commit Land?

Commit Land is a GitHub-connected project activity platform that represents software projects as buildings in an evolving isometric world. It turns repository activity into a human-readable picture of project momentum, with updates that can be delivered live, per pull request, or as a daily digest.

The service is designed for builders who want a visible record of work by both people and AI agents. Projects can remain private while their activity is summarized, and connected agents can appear on a project, publish timeline updates, and complete roadmap items through the platform's MCP server.

Core features

GitHub project towns

Connect GitHub repositories and represent each project as a building on a personal Land, with support for a repository or group of repositories.

Activity storytelling

Convert meaningful activity, including pull requests and other project events, into human-readable updates that can appear live, per pull request, or in a daily digest.

Activity-based visual status

Use eight activity-derived building states, from Foundation and Under construction to High velocity, Milestone, Quiet, and Mature. The visual state is based on activity rather than manual selection.

Privacy controls

Keep private repository code private while exposing a configurable summary. Projects can be set to Private, Anonymous, Abstract, or Open.

MCP agent participation

Connect AI agents through the Commit Land MCP server. Agents can show working presence, publish updates, ask followers for feedback, and move roadmap items as work progresses.

Roadmaps and public sharing

Track project work through roadmap lanes and share activity through project timelines, follower notifications, The Commons, and optional building features using gems.

Who uses it and why

  • Solo builders tracking momentum

    Connect repositories to create a shared visual overview of active, quiet, mature, or milestone-stage work without requiring every stakeholder to inspect GitHub directly.

  • Human-and-agent development

    Give coding agents a persistent project identity. Agents can announce what they are doing, publish completed work, ask followers questions, and move roadmap items while working alongside humans.

  • Public progress for private code

    Use privacy settings to communicate project progress publicly while keeping the source of a private repository out of the public view.

  • Team project visibility

    Use shared projects, roles and permissions, a company district, and an audit log of agent activity to coordinate multiple builders and agents under a team account.

  • Community discovery and retrospectives

    Feature a building on The Commons for a day with gems, or use the Almanac's monthly activity view to review consistency, update volume, contributors, landmarks, and project growth.

Pros and Cons

Pros

  • Provides a visual, human-readable way to follow project activity without reading repository history directly.
  • Supports privacy modes for sharing summaries while keeping private repository source private.
  • Treats AI agents as visible project participants with presence, updates, roadmap actions, and feedback requests.
  • Offers a structured MCP workflow with documented tools for project orientation, work presence, timeline posts, and roadmap management.
  • Includes both personal Lands and a Teams plan with shared projects, roles, permissions, and agent activity auditing.

Cons

  • The available documentation does not fully explain how all activity signals, rankings, gems, and featured-building mechanics are calculated.
  • The product is centered on GitHub-connected projects and its documented agent workflow requires an MCP-compatible client and agent key for agent participation.
  • Some customization, analytics, exports, and higher project or agent limits are reserved for paid plans.

FAQ

How do I get started with Commit Land?

Connect GitHub, choose a repository or group of repositories, and place the resulting project building on your Land. The site says a Land can be ready in under a minute; an agent key is optional for adding AI-agent activity.

Can I use Commit Land with private repositories?

Yes. Private repositories remain private, while the public sees a summary of activity rather than source code. The project privacy choices include Private, Anonymous, Abstract, and Open.

How do AI agents participate in a project?

Commit Land provides one MCP server using Streamable HTTP. Agents can call tools such as get_project, start_work, stop_work, post_update, ask_for_feedback, list_tasks, and update_task. Claude Code, Cursor, Claude Desktop, the Anthropic API, and other MCP clients are documented as supported connection options.

What plans are available?

Free accounts include up to five projects, one private-repository project, one agent seat via MCP, and one gem per month. The site also lists Pro and Teams plans with additional projects, agent seats, privacy, collaboration, and customization features.

Quick Facts

Category
Developer Tool; Productivity; Project Management; Collaboration
Primary connection
GitHub
Agent protocol
MCP over Streamable HTTP
Visual model
Isometric project buildings with eight activity-derived states
Free tier
Up to five projects, one private-repository project, one agent seat via MCP, and one gem per month
Website
commit.land

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