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by emanuele-em
Self-hosted kanban for humans and agents. One 4 MB binary, starts in 2 ms, zero setup.
# Add to your Claude Code skills
git clone https://github.com/emanuele-em/kanzoSee how kanzo compares with popular alternatives.
kanzo is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by emanuele-em. Self-hosted kanban for humans and agents. One 4 MB binary, starts in 2 ms, zero setup. It has 63 GitHub stars.
kanzo's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.
Clone the repository with "git clone https://github.com/emanuele-em/kanzo" and add it to your Claude Code skills directory (see the Installation section above).
kanzo is primarily written in Rust. It is open-source under emanuele-em on GitHub, so you can review or fork the full source.
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Available after the catalog security scan passes.
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The deep catalog scan for this skill is still queued. Run an instant dependency check now instead.
Kanzo is a kanban board in your browser and an MCP server in one small program, so you and your coding agents work on the same tasks. The whole board is one folder, and a private git repo keeps it in step on every machine you use: no account, no server.
curl -LsSf https://github.com/emanuele-em/kanzo/releases/latest/download/kanzo-installer.sh | sh
For macOS and Linux, including every Raspberry Pi. Or with Cargo:
cargo install kanzo
| Command | Does |
|---|---|
kanzo |
Starts the board at http://localhost:4242 and opens it; --port for another port, --no-open to not open it |
kanzo service install |
Keeps the board running and starts it at login; uninstall removes it |
kanzo mcp |
The MCP server for agents: they start it, not you |
kanzo sync |
Commits the board and pulls or pushes it; --repo <url> sets the repo, --keep-local or --keep-remote when both sides changed |
kanzo export |
Prints the board as Markdown; -f json for JSON, -p <project> for one project, -o <file> to save it |
kanzo update |
Installs the latest release and restarts the board's service; the board offers new versions too |
kanzo init |
Creates the data folder; the first run does this too |
kanzo --version |
Prints the version |
Every command takes --home <dir> to use another data folder.
n adds a task, / or ⌘K searches every project, Tab moves to the description, ⌘↵ saves and closes, Esc cancels.
Paste or drop an image into a task or a comment to attach it, as in ChatGPT. Agents get its file path and can open it.
When a new version is out, the sidebar offers it: one click installs it and restarts the board.
claude mcp add kanzo --scope user -- kanzo mcp # Claude Code
codex mcp add kanzo -- kanzo mcp # Codex
Other MCP clients: run kanzo mcp (apps like Raycast need the full path, from which kanzo), or use the running board at http://localhost:4242/mcp.
Then ask: "take the next task from kanzo and do it." The agent moves the card to doing and comments as it works. It finds the right project from the git remote of the repo it works in; link more repos to a project from its ⋯ menu.
A laptop, a desktop, a Raspberry Pi: they all share one board through a private git repo you own.
~/kanzo a git repo and pushes the board.From then on, press sync, or run kanzo sync, when you switch machines. It commits the board and pulls or pushes it, and it's safe while the board and your agents are running. If both machines changed the board, Kanzo asks which one to keep. To move to another repo, click its name at the bottom of the sidebar.
Everything lives in ~/kanzo: the board in kanzo.db, settings in config.toml. Use another folder with --home or KANZO_HOME.
port = 4242
listen = "127.0.0.1" # "0.0.0.0" opens the board to your network: no logins, so only on one you trust
statuses = ["todo", "doing", "review", "done"] # new tasks go first, the last counts as done
mcp_http = true # MCP at /mcp
| Program | 4.1 MB, SQLite included |
| Memory | 4.5 MB idle, 8 MB with 3,000 tasks |
| Start | 2 ms |
| Board of 3,000 tasks | 17 ms to load in the browser |
| Agents' tool list | about 900 tokens, once per session |
| Agents' replies | 10 to 60 tokens of plain text |
Measured on an Apple M4.
AGPL-3.0: use it, change it and share it; if you offer a changed version over a network, share its source too. To help, see CONTRIBUTING.
mcp-name: io.github.emanuele-em/kanzo