JoshuaC215/agent-service-toolkit

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

4443 stars · 764 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A full toolkit for building and running an AI agent service using LangGraph, FastAPI, and Streamlit. It provides a template including a LangGraph agent, a FastAPI serving layer, a client, and a Streamlit chat interface.

Use cases

• build a chatbot service with langgraph
• deploy an ai agent backend with fastapi
• create a streamlit chat ui for my agent
• template for starting a langgraph project
• serve multiple agents behind one api
• stream agent responses to a web frontend

When to choose

• you want a production-style template for LangGraph agents with API and UI included
• you use Python and want FastAPI serving plus a ready-made chat frontend
• you want streaming, feedback, and human-in-the-loop patterns out of the box

When to avoid

• you need a non-Python stack or a framework other than LangGraph
• you only need a simple single-file agent script without a service layer
• you want a hosted SaaS solution rather than self-hosted code

Facets

framework · maturity active

agent-framework chatbot api-framework web-framework chat-interface rag llm-inference large-language-models chatbots web-development developer-tools python self-hosted langgraph fastapi streamlit pydantic agent-template boilerplate ai-agents docker web-server

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