iauto is a low-code engine for building and deploying AI agents.
- AI: Cutting-edge AI capabilities.
- Low-Code: Define your agents using YAML.
- Automation: Integrated automation frameworks like Appium and Playwright.
- Extensible: Well-designed Python API.
- Integrated autogen: Create your Multi-Agent system efficiently with iauto.
- Run most open source LLMs locally using llama.cpp and llama-cpp-python.
Python version requirement: >=3.8
iauto can be installed from PyPI using pip. It is recommended to create a new virtual environment before installation to avoid conflicts.
pip install -U iautoIf you want to run LLM locally, you can enable hardware acceleration in the following ways.
To enable cuBLAS acceleration on NVIDIA GPU:
CMAKE_ARGS="-DGGML_CUBLAS=ON" pip install -U iautoTo enable Metal on Apple silicon devices:
CMAKE_ARGS="-DGGML_METAL=ON" pip install -U iautoUsage:
python -m iauto --help
or
ia --helpRun playbook:
ia run ./your-plabook.yamliauto provides a web-based application for running playbooks, LLM Chat, ReAct reasoning, and Multi-Agent tasks.
Launch playground:
ia playgroundScreenshot:
We are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
- Code Style: PEP-8
- Docstring Style: Google Style
# Create python venv
python -m venv .venv
source .venv/bin/activate
# Install dependencies
pip install -r requirements.txt
pip install -r requirements-dev.txt
# Apply autopep8, isort and flake8 as pre commit hooks
pre-commit install./build.sh icon license: https://openmoji.org/library/emoji-1F9BE