Skip to main content

Autonomous LLM personal agent.

Project description

openmacro

[!NOTE]
Project is in its early stage of development.

openmacro is a multiplatform personal agent which allows LLMs to run code locally. Open Macro aims to act as a personal agent capable of completing and automating simple to complex tasks autonomously via self prompting.

Get started

You can get started with openmacro by running.

pip install openmacro

Not working? Raise an issue here.

macro

This provides a cli natural-language interface and toolset for you to:

  • Complete and automate simple to complex tasks.
  • Analyse and plot data.
  • Control a Chromium browser to perform tasks and research.
  • Control desktop applications through vision and pyautogui.
  • Manipulate files including photos, videos, PDFs, etc.

By default, if no api keys for models are provided, the following will be used powered by HuggingFace:

This project is heavily inspired by Open Interpreter.

Todo's

  • AI Intepreter
  • CLI Interface
  • API Keys Support
  • Extensions Feature
  • Web Search Capability
  • Full Browser Control
  • Chunk Streaming and Smart Stalling
  • Semantic File Search
  • App Interface ...

Contact

You can contact me at amor.budiyanto@gmail.com

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

openmacro-0.0.6-py3-none-any.whl (18.9 kB view details)

Uploaded Python 3

File details

Details for the file openmacro-0.0.6-py3-none-any.whl.

File metadata

  • Download URL: openmacro-0.0.6-py3-none-any.whl
  • Upload date:
  • Size: 18.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for openmacro-0.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 012bf01312dad8270efe3eecf20efe0d1dcde3b1f20e5f7e174507df248c6845
MD5 bdf53777434f0edd9b3943b55f41f951
BLAKE2b-256 24edaef41c42b556cec7fda028ec8455a0e11209bf5d990d193493be72ea8871

See more details on using hashes here.

Supported by

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