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micro · cc — cognitive compute

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Knowledge work is, by extension, a coding problem.

Frontier models with full system access — shell, filesystem, browser, MCP. Verbose, thorough planning paired with unrestricted file operations lets micro·cc take on complex multi-step work autonomously. Point it at any project directory and go.

Install

pip install micro-cc

On first launch, micro·cc creates ~/.micro-cc/ with an example .env — add your API keys there and restart. That directory is also where conversation history and project state live.

Platform

Built and tested on macOS. Works on Linux. Windows should work via pip install + any modern terminal — iTerm2 is macOS-only but micro·cc doesn't depend on it, it just looks best there.

Environment

Edit ~/.micro-cc/.env — set one endpoint:

# Option 1: Anthropic direct + OpenAI for embeddings
ANTHROPIC_API_KEY=sk-ant-
OPENAI_API_KEY=sk-proj-

# Option 2: LiteLLM proxy (Bedrock, Azure, etc.)
# LITELLM_BASE_URL=https://your-proxy.com
# LITELLM_API_KEY=sk-...

# Web search (always needed for search tools)
SERPAPI_KEY=

Usage

microcc /path/to/your/project

Controls:

  • Enter — submit prompt
  • Shift+Enter — newline
  • Escape — interrupt
  • /clear — reset conversation
  • /model — switch model
  • /exit — quit

Data

~/.micro-cc/
  .env                              API keys
  projects/
    {project}_{hash}/
      messages.jsonl                conversation history
      summary.json                  sliding-window summary
      project_path.txt              maps hash back to directory

Tools

Tool Description
bash_ Shell execution in project_dir
read_ Read files with line numbers, offset/limit
write_ Create/overwrite files, auto-creates dirs
edit_ Surgical string replacement (fails if ambiguous)
glob_ Find files by pattern, sorted by mtime
grep_ Regex search with context lines
browser_ Web browsing and page extraction (beta)
computer_use_ Screen interaction and GUI automation (beta)

All tools are discoverable — use search_tools to find more at runtime.

Relative paths resolve to project_dir. Absolute paths work anywhere.

Architecture

start_live_.py (CLI)                textual TUI
       │
       │ async for event in claude_loop()
       ▼
claude_loop_.py (Core)              API calls, tool execution, JSONL storage
       │
       │ execute_tool_call()
       ▼
tools/                              bash_, file ops, browser, computer_use
       │
       ▼
~/.micro-cc/projects/{hash}/        conversation persistence

Full system access plus verbose planning. The model reads your codebase, writes plans, executes tools, observes results, iterates — until the work is done.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

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Release history Release notifications | RSS feed

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