langgraph-agent-toolkit and sales-ai-agent-langgraph

Maintenance 10/25
Adoption 5/25
Maturity 25/25
Community 14/25
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 19/25
Stars: 10
Forks: 3
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 74
Forks: 19
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
Stale 6m No Package No Dependents

About langgraph-agent-toolkit

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.

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.

AI-agent-development conversational-AI LLM-application-deployment API-development AI-infrastructure

About sales-ai-agent-langgraph

lucasboscatti/sales-ai-agent-langgraph

A Virtual Sales Agent that uses LangChain, LangGraph, and Gemini Flash to simulate customer interactions. Features include product inquiries, order management, and personalized recommendations through a user-friendly Streamlit interface.

This tool creates a virtual sales agent that handles customer interactions for e-commerce or customer support. It takes customer questions or requests via a chat interface and provides product information, processes new orders, tracks existing orders, and offers personalized recommendations. This is designed for e-commerce managers, sales teams, and customer service departments.

e-commerce customer-service sales-automation virtual-assistant order-management

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