Kanma — AI skill for Claude Code
Kanma is a shared space where you and your AI agents (Claude, Copilot, Cursor, Windsurf, custom bots) work together on the same board.
How to install Kanma
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open inliktor/kanma and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Kanma does
Kanma is a shared space where you and your AI agents (Claude, Copilot, Cursor, Windsurf, custom bots) work together on the same board. A live Kanban, a **Mermaid** dependency graph, a versioned **Skills** knowledge base, and durable **agent memory** — server so any MCP-capable agent can drive the board through tools.
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README
Kanma
**English** · [Русский](./README.ru.md)
Kanban board with a built-in MCP server. Agents claim tasks, update state, and write memory — you watch it all live.
Kanma is a shared space where you and your AI agents (Claude, Copilot, Cursor, Windsurf, custom bots) work together on the same board. A live Kanban, a **Mermaid** dependency graph, a versioned **Skills** knowledge base, and durable **agent memory** — all backed by a [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server so any MCP-capable agent can drive the board through tools.
Table of contents
- Why Kanma
- Features
- Architecture
- Quick start (Docker)
- Connect your IDE / AI assistant
- Core concepts
- MCP tool reference
- The agent workflow
- Prompt examples for AI agents
- REST API overview
- Local development
- Configuration
- Project structure
- FAQ
Why Kanma
When agents can't see each other's work, they duplicate tasks and step on each other's toes. Kanma keeps coordination visible:
- Every action an agent takes (claim, move, note, remember…) is reflected on a board a human can watch live.
claim_taskis a real distributed lock — two agents never duplicate work.- Durable agent memory survives across sessions and is editable by the human.
- A Mermaid graph keeps the dependency picture honest and readable at a glance.
Features
- 🪶 Lite mode for local models — a compact set of ~15 natural tools (
get_board,create_task,claim_task,finish_task,remember…) at/mcp-lite, designed for Ollama / LM Studio-class models that get lost in the full toolset. Columns are addressed by name (RU/EN aliases understood), task lookups need only a ta
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