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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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