Structured Data Extractor for AI Agents. Search your documents or the web for specific data and get it back in JSON or Markdown in a single tool call.
-
Updated
Mar 29, 2025 - Python
Structured Data Extractor for AI Agents. Search your documents or the web for specific data and get it back in JSON or Markdown in a single tool call.
Adapters for integrating Model Context Protocol (MCP) tools with LangChain.js applications, supporting both stdio and SSE transports.
Explore the must-have external ready-made toolkits to integrate with your AI agents built with Python and TypeScript
Local RAG as a simple CLI, for standalone use or as a gptme tool
A Repository of Functions Consumable by Other Agent Frameworks
Make your agent powerful in just 2 more lines of code
Multi-Agent LLM System for Digital Scam Protection
Google Docs Cloudflare Worker for Chat Agents
Agent network builder for communicating with openapi apis. Based in autogen
CLI tool to create new Agentico MCP tools
Application that generates automatic responses to Amazon Lex messages using generative AI.
A powerful Custom Tool that enables AI agents to autonomously execute GraphQL queries and mutations. This package allows AI agents to intelligently interact with GraphQL APIs, making decisions about when and how to fetch or modify data through GraphQL endpoints without explicit human intervention.
Simple ecommerce product catalogue chatbot using Ollama, LangChain, Streamlit and DummyJSON Product API
Add a description, image, and links to the agent-tools topic page so that developers can more easily learn about it.
To associate your repository with the agent-tools topic, visit your repo's landing page and select "manage topics."