What is it?
An open-source AI coding IDE that exposes the full agent harness instead of hiding it behind a prompt box: tools, skills, MCP, providers, database sources and workspace context all stay visible.
Claake Code combines an editor, terminal, file tree, chat and AI coding agent in one native workspace — with every tool, skill, MCP server and provider visible and editable.
An open-source AI coding IDE that exposes the full agent harness instead of hiding it behind a prompt box: tools, skills, MCP, providers, database sources and workspace context all stay visible.
Developers and technical teams who want a powerful AI coding agent while keeping permissions, providers, tools and context fully auditable.
Unlike black-box AI coding tools, every part of the operating surface can be inspected, edited and restricted before the agent touches your code.
Claake Code is built around explicit controls, visible permissions and portable workflows rather than hidden prompts or opaque automation.
Claake Code combines editor, terminal, file tree, chat and settings in a native desktop app for macOS, Windows and Linux.
The agent can plan, edit files, run commands, inspect outputs, ask questions and coordinate work while keeping every action visible.
Read, glob, grep, edit_file, write_file, bash, web, question, todo, database, MCP, skills, sub-agents and teams can be toggled or described differently.
Skills are local Markdown instructions in ~/.claakecode/skills that save repeatable expertise without a plugin store.
Workspace-scoped Model Context Protocol servers attach external capabilities while remaining part of the visible agent surface.
Connect Anthropic, OpenAI, Google, Kimi, OpenRouter and Mistral-style providers, then choose models for chats, sub-agents or teams.
Approved Postgres, MySQL, SQLite, MSSQL or Supabase REST sources can be listed, described and queried with row limits and confirmations.
Rollback checkpoints, context cleaning, conversation compaction and todo boards help long AI coding sessions stay reversible and readable.
Open a repo, pick a provider, decide which tools are allowed, then let the agent plan, edit, run, inspect databases and coordinate sub-agents — with every move visible.