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Harness that gives frontier models full system access — shell, filesystem, browser, MCP — running directly on the metal.

Project description

micro·cc — cognitive compute

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  ╚═╝     ╚═╝ ╚═════╝ ╚═════╝ ╚══════╝╚══════╝
  ─────── on the metal ─────────────────────

Harness that gives frontier models full system access — shell, filesystem, browser, MCP — running directly on the metal. Planning, memory, and tool orchestration let models perform complex multi-step work autonomously. Point it at any project directory and go.

Install

pip install micro-cc

Environment

Create ~/.micro-cc/.env with one endpoint — set Anthropic OR LiteLLM, not both. If both are set, Anthropic takes priority.

# Anthropic (direct)
ANTHROPIC_API_KEY=sk-ant-

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

# Shared
OPENAI_API_KEY=sk-proj-
SERPAPI_KEY=

Usage

microcc /path/to/your/project

Controls:

  • Option+Enter — submit prompt
  • Enter — newline
  • Ctrl+C — interrupt
  • /clear — reset conversation
  • /exit — quit

Terminal

Recommended: iTerm2

For Option+Enter (submit) to work, configure iTerm2:

iTerm2 → Settings → Profiles → Keys → General → Left Option Key → Esc+

Shell Alias

Add to ~/.zshrc:

microcc() {
    (cd ~/micro-cc && source env/bin/activate && python start_.py "$@")
}

Then: microcc /path/to/project

Architecture

start_.py (CLI)                     prompt_toolkit + rich rendering
       │
       │ async for event in claude_loop()
       ▼
claude_loop_.py (Core)              API calls, tool execution, JSONL storage
       │
       │ execute_tool_call()
       ▼
tools/                              bash_, read_, write_, edit_, glob_, grep_
       │
       ▼
micro-cc/projects/{name}_{hash}/  conversation persistence

How it works:

  1. CLI starts FileWatcher on project dir, enters prompt loop
  2. User query → claude_loop() async generator
  3. Builds system prompt with project's CLAUDE.md + any file changes detected
  4. Calls Anthropic API with tool definitions
  5. Executes tool calls locally, loops until the model stops calling tools
  6. Yields events (thinking, tool_call, tool_result, final_text) for CLI to render
  7. Saves conversation to JSONL (stripped of thinking blocks for replay)

Tools:

Tool Description
bash_ Subprocess execution in project_dir, timeout support
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

Path handling: Relative paths resolve to project_dir, absolute paths work anywhere.

File watcher: Detects external changes, injects into system prompt so the model sees what you edited.

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