kryvokhyzha/langgraph-agent-toolkit

A comprehensive toolkit for building, deploying, and managing AI agents using LangGraph, FastAPI, and Streamlit. It provides a production-ready framework for creating conversational AI agents with features like multi-provider LLM support, streaming responses, observability, memory and prompt management.

54
/ 100
Established

This toolkit helps AI developers build, deploy, and manage conversational AI agents quickly. It takes your agent definitions and configurations to produce a robust API service and a user-friendly interface. AI engineers and developers who need to get AI agents into production will find this useful.

Available on PyPI.

Use this if you are an AI developer looking for a comprehensive, production-ready framework to create and manage conversational AI agents using LangGraph.

Not ideal if you are an end-user seeking a ready-to-use chatbot or an application without needing to develop it yourself.

AI-agent-development conversational-AI LLM-application-deployment API-development AI-infrastructure
Maintenance 10 / 25
Adoption 5 / 25
Maturity 25 / 25
Community 14 / 25

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Stars

10

Forks

3

Language

Python

License

MIT

Last pushed

Feb 03, 2026

Commits (30d)

0

Dependencies

33

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