Installation

Requirements

• Python >= 3.12
• Core dependencies: diskcache, numpy (installed automatically)

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Install from PyPI

# Core (in-memory + disk backends)
pip install chengeta-ai

# With framework adapters
pip install 'chengeta-ai[langchain]'
pip install 'chengeta-ai[langgraph]'
pip install 'chengeta-ai[autogen]'
pip install 'chengeta-ai[crewai]'
pip install 'chengeta-ai[agno]'

# With storage backends
pip install 'chengeta-ai[redis]'
pip install 'chengeta-ai[vector-faiss]'
pip install 'chengeta-ai[vector-chroma]'

# Everything
pip install 'chengeta-ai[all]'

uv

uv add chengeta-ai
uv add 'chengeta-ai[langchain,redis]'
uv add 'chengeta-ai[all]'

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From Source

git clone https://github.com/vigilancetrent/chengeta-ai.git
cd chengeta-ai
uv sync --dev
uv run pytest  # verify install

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Verify Installation

python -c "import chengeta_ai; print(chengeta_ai.__version__)"
# 0.2.0

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Optional Dependencies

Extra	Package	What it enables
redis	redis>=5.0	Redis-backed distributed cache
vector-faiss	faiss-cpu>=1.7	FAISS vector similarity search
vector-chroma	chromadb>=0.4	ChromaDB persistent vector store
langchain	langchain-core>=0.2	LangChain BaseCache adapter
langgraph	langgraph>=0.1	LangGraph checkpoint adapter
autogen	pyautogen>=0.2	AutoGen 0.2.x adapter
crewai	crewai>=0.28	CrewAI kickoff adapter
agno	agno>=0.1	Agno agent adapter
openai	openai>=1.0	OpenAI SDK adapter
anthropic	anthropic>=0.25	Anthropic SDK adapter

AutoGen 0.4+: install autogen-agentchat>=0.4 separately — it ships as its own package.

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Docker

docker build -t chengeta-ai .
docker run --rm chengeta-ai