FlowFoundry: a strategy-first, cloud-agnostic agentic workflow framework (LangGraph/LangChain)
Project description
FlowFoundry
FlowFoundry is a cloud-agnostic agentic workflow framework built on LangGraph and LangChain.
It helps you design, test, and run agentic workflows locally or in the cloud, with pluggable connectors for storage, LLMs, rerankers, and external tools.
Features
- 🔌 Cloud-agnostic core
- 🧠 Multi-LLM per node
- 🧪 Testable with in-memory components
- 🛠️ Extensible for RAG, tool use, DB retrieval, form filing, image interpretation
Install
pip install flowfoundry # core
pip install "flowfoundry[rag]" # + Chroma & sentence-transformers
pip install "flowfoundry[rerank]" # + CrossEncoder & BM25
Run a local RAG
flowfoundry run examples/ingestion.yaml
flowfoundry run examples/rag_local.yaml --state '{"query":"What does the doc say about X?"}'
Extend with a strategy
from flowfoundry.strategies import register_strategy
@register_strategy("chunking", "my_smart_chunker")
def my_smart_chunker(text: str, *, doc_id: str = "doc"):
return [{"doc": doc_id, "text": text}]
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