MCP ExplorerExplorer

Super Lang Agent

@FaizanAli-ioon 10 months ago
2 MIT
FreeCommunity
AI Systems
A LangChain + LangGraph Backend that has multiple tools and MCPs integrated

Overview

What is Super Lang Agent

Super-Lang-Agent is a backend solution that combines LangChain and LangGraph, integrating multiple tools and MCPs to enhance functionality and streamline processes.

Use cases

Use cases include automating data workflows, enhancing AI model training processes, and integrating various data sources for comprehensive analysis.

How to use

To use Super-Lang-Agent, developers can integrate it into their applications by leveraging its APIs and tools, allowing for efficient data handling and processing.

Key features

Key features include seamless integration with LangChain and LangGraph, support for multiple tools, and enhanced capabilities for managing complex workflows and data interactions.

Where to use

Super-Lang-Agent can be used in various fields such as software development, data analysis, and AI applications where complex data management and processing are required.

Content

Super-Lang-Agent

A powerful backend built with LangChain + LangGraph, supporting multiple tools and MCP integrations.

🚀 Quick Start

Run the App

docker-compose up

Test WebSocket

python -m http.server 8080

🛠️ Database Migrations (Alembic)

Generate a new migration:

alembic revision --autogenerate -m "your message here"

Apply migrations:

alembic upgrade head

Tools

No tools

Comments

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