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Release notes

Release notes

Where Mini-claude stands, version by version. The project is an openly admitted WIP: the agent loop, tools, modes and permissions are in; sessions, MCP and hooks are not yet.

v0.1: the agent takes shape

The first building block: a full local agent, from chat to action.

Done

Agent & modes

  • Agentic loop: the model calls tools, Mini-claude runs them and feeds the result back.
  • Four modes, auto, explain, guided, review, with on-the-fly switching via /mode.
  • Fallback parser for weak-tool-calling models, startup probe that flags weak tool calling.

Tools

  • Files: read_file, write_file, edit_file, grep, glob, tree.
  • Commands: bash.
  • Web & browser, from your own Chrome: browser_open, browser_click, browser_type, browser_key, browser_scroll, browser_fill, browser_read, browser_screenshot, plus web_search and web_fetch.

Safety & reliability

  • Permission with a diff before any destructive action, session-wide “always allow”.
  • Git auto-commit + /undo that never touches your own commits.
  • Loop guard and a marker on answers produced without reading any file.

Comfort

  • Commands: /mode, /model, /workspace, /audit, /compact, /clear, /undo, /quit.
  • Project memory: MINICLAUDE.md and other tools’ files (AGENTS.md, CLAUDE.md, GEMINI.md, .cursorrules…) injected into the system prompt.
  • keep_alive to keep the model warm, a debug log for diagnosis.

Known limitations

  • Tool-calling reliability on small models: some emit calls as text. We recover many, but multi-step tasks stay flaky. See Models.
  • Confabulation: a model may answer confidently without having read the file. We flag it rather than hide it.
  • Context window: long sessions auto-compact; /compact when needed.
  • No undo outside git: /undo requires a git repo.

What’s next

Nothing’s set in stone, but here’s what we’re aiming at.

  • Sessions, save and resume a conversation.
  • MCP, plug in Model Context Protocol servers to extend the tools.
  • Hooks, trigger actions at key points in the agent’s lifecycle.
  • First release, prebuilt binaries for macOS / Linux / Windows.
  • Model benchmarks, repeatable measurements to guide your choice.
Got an idea or a specific need? Open an issue or a PR, see Contribute.