Skip to main content

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

Project description

micro · cc — cognitive compute

  ███╗   ███╗██╗ ██████╗██████╗  ██████╗
  ████╗ ████║██║██╔════╝██╔══██╗██╔═══██╗
  ██╔████╔██║██║██║     ██████╔╝██║   ██║
  ██║╚██╔╝██║██║██║     ██╔══██╗██║   ██║
  ██║ ╚═╝ ██║██║╚██████╗██║  ██║╚██████╔╝
  ╚═╝     ╚═╝╚═╝ ╚═════╝╚═╝  ╚═╝ ╚═════╝
       c o g n i t i v e  c o m p u t e

Knowledge work is, by extension, a coding problem.

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

Install

Please use iTerm2. Highly recommended terminal UI.

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.

Recommended terminal: iTerm2 (macOS).

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.

Project details


Download files

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

Source Distribution

micro_cc-0.2.5.tar.gz (2.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

micro_cc-0.2.5-py3-none-any.whl (2.8 MB view details)

Uploaded Python 3

File details

Details for the file micro_cc-0.2.5.tar.gz.

File metadata

  • Download URL: micro_cc-0.2.5.tar.gz
  • Upload date:
  • Size: 2.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.11

File hashes

Hashes for micro_cc-0.2.5.tar.gz
Algorithm Hash digest
SHA256 d9c43c919f65d12695ab699bae2412e10f2b6fac5d65d4c2d1b993e707cd9ba6
MD5 99a621b9352f0b2e3ef21b17dfe72a39
BLAKE2b-256 37af72b72fe36390c28384a29abe49ab23985c6813494570e67abb6bd6702298

See more details on using hashes here.

File details

Details for the file micro_cc-0.2.5-py3-none-any.whl.

File metadata

  • Download URL: micro_cc-0.2.5-py3-none-any.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.11

File hashes

Hashes for micro_cc-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 b03bbdad910e0a8791dfa95fc5e5bd64f32492efa760010fbe5d4b1968f0e49e
MD5 f44dff242705f7066d9621b362dfedeb
BLAKE2b-256 66841e08820df5c053f5b3f1aaa8d467a3411d6f797e6430b48838f6a8a9aa35

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page