Discover integrations, agent tools, frameworks, and learning resources for AI agents.

LangChain Collapse provides preventive context management for LangChain agents by collapsing consecutive tool-call groups. This tool is ideal for developers working with LangChain who need to optimize context usage in their applications.

LangChain Ollama Agents enables local deployment of large models using the LangChain framework. It is designed for developers looking to leverage multi-agent capabilities in their applications.

This Vue application allows users to interact with any LangGraph agent through a chat interface. It is designed for developers looking to integrate chat functionalities with LangChain agents in their applications.

Langflow CLI is a command line interface designed for interacting with Langflow. It is ideal for developers looking to streamline their workflows using Langflow's capabilities directly from the terminal.

The LangGraph Reflection Researcher is an innovative tool that utilizes a Reflection Agent to enhance the quality of answers through iterative refinement using a Large Language Model and web searches. It is designed for researchers and developers looking to improve their query responses by simulating a comprehensive research process.

LangGraph Swarm is an alternative implementation of OpenAI Swarm Agents, designed for integration with LangGraph and LangChain. It is aimed at developers looking to build and experiment with swarm intelligence in AI applications.

LangGraph Trip Planner is a tool that utilizes the LangGraph framework to enhance trip planning capabilities with integration to Feishu. It is designed for developers looking to create intelligent travel planning applications using AI agents.

Lark CLI Multi-Account provides a setup guide for managing multiple accounts with AI agents. It is designed for developers looking to streamline their workflow with AI integrations.

Lexo is a versatile toolkit designed for working with large language models (LLMs), enabling retrieval-augmented generation (RAG), fine-tuning, and agent development. It is ideal for developers and researchers looking to enhance their AI applications with advanced LLM capabilities.

This tool provides an agentic RAG service that leverages semantic search and LLM reasoning to analyze startup signals. It is designed for developers and data scientists looking to enhance their applications with advanced search capabilities.

This repository provides a LINEBot template integrated with the OpenAI Agent SDK, utilizing a custom provider for Google Gemini. It is ideal for developers looking to create interactive chatbots using LINE and OpenAI technologies.

This ChatGPT plugin enhances the interview process by providing assistance to both interviewers and interviewees. It is ideal for professionals looking to improve their interview skills or streamline the hiring process.

This tool allows users to check live flight statuses through API calls, enhancing the capabilities of the original airline assistant. It is designed for developers and aviation enthusiasts looking to integrate real-time flight information into their applications.

This Unity project provides an editor tool that allows users to access various LLMs through a single dropdown interface. It is designed for developers looking to integrate AI models into their Unity applications seamlessly.

The LLM Dataset Generator is an open source tool designed to create text data compatible with various language models. It is particularly useful for researchers, developers, and organizations focused on natural language processing applications.

This repository provides a comprehensive collection of resources for preparing for LLM interviews, covering various topics such as pretraining, SFT, and the latest research. It is ideal for candidates looking to deepen their understanding of large language models and related concepts.

This CLI tool allows users to manage and compare LLM prompts using semantic diffing, providing a more nuanced comparison than traditional text-based methods. It is ideal for developers and researchers working with language models who need to track changes in prompts effectively.

LLMs Lab is a comprehensive full-stack engineering platform for large language models, featuring tools for autonomous agents, fine-tuning, and advanced retrieval-augmented generation. It is designed for researchers and developers looking to build and deploy sophisticated AI applications.

Local AI Agent provides a foundational framework for developing AI agents using Python, integrating LangChain workflows and local models. It is designed for developers looking to create and customize AI applications with a user-friendly interface.

Local Inference Calculator is a CLI tool designed to estimate VRAM requirements for large language models across various GPUs. It is ideal for developers and researchers working with machine learning models who need to optimize their hardware configurations.

Local RAG Assistant is designed to enhance local knowledge base capabilities for AI agents. It is ideal for developers looking to implement localized AI solutions with retrieval-augmented generation features.

This tool serves as an MCP server aggregator designed for browser automation and data parsing, with optional LLM data cleaning capabilities using Playwright. It is ideal for developers looking to streamline web scraping and automation tasks in a cost-effective manner.

LUA Agents is a tool that allows users to create agents that think in Lua code, providing a unique approach to agent-based programming. It is designed for developers looking to leverage Lua for building intelligent agents in various applications.

Lumera RAG Agent is an AI-powered e-commerce support tool designed to enhance customer service through a multi-agent architecture. It is ideal for e-commerce businesses looking to improve their customer interaction and support efficiency.

MandoCode is a .NET C# CLI Coding Agent that refactors code, proposes diffs, and updates projects safely without requiring API keys. It is designed for developers looking to enhance their coding efficiency both locally and in the cloud.

Mark Guard is a CLI tool that detects changes in Go code and automatically updates your markdown documentation using AST diffing and language models. It is ideal for developers looking to streamline their documentation process and maintain accurate project documentation effortlessly.

MassGen Skills provides a set of tools for AI coding agents to perform multi-agent evaluation, planning, and task execution. It is designed for developers looking to enhance their AI coding capabilities across various platforms.

This repository contains the code for a Udemy course focused on Amazon Bedrock AgentCore. It is designed for learners who want to deepen their understanding of AI agents using Amazon's platform.

MC-CIV is an autonomous multi-agent storytelling framework designed for Minecraft, featuring an LLM-driven World Narrator and intelligent agent swarms. It is ideal for developers looking to create dynamic storytelling experiences within the Minecraft environment.

MCP Analytics is a server designed for data analytics, integrating with platforms like Shopify and Stripe for forecasting and machine learning. It is ideal for developers and data scientists looking to leverage AI tools for interactive reporting and data analysis.

This tool provides a secure and efficient MCP filesystem server, enabling token-saving batch operations with project root confinement. It is designed for developers looking to manage file systems effectively within AI agent contexts.

MCP Insights is a PowerShell utility that generates reports about servers on the MCP registry. It is designed for system administrators and IT professionals who need to analyze server data efficiently.

MCP Registry App is a search utility designed for discovering MCP Servers. It is ideal for developers and users looking to efficiently locate and utilize various MCP Server implementations.

MCP Server by Koyeb provides a model context protocol server designed for seamless integration with various applications. It is ideal for developers looking to implement a robust server solution for managing model contexts in their projects.

This Model Context Protocol (MCP) server enables seamless interaction with Bing Webmaster Tools (BWT) API for AI clients like Claude.ai. It is designed for developers and SEO professionals looking to automate and enhance their web management tasks.

This is a server implementation for the Halo Infinite game, designed to facilitate interactions with the game's API. It is aimed at developers looking to create custom applications or tools that integrate with Halo Infinite.

The MCP Server facilitates video automation using the Plainly Videos API, specifically designed for Adobe After Effects. It is ideal for developers looking to streamline video processing and rendering workflows.

This Python package assists developers in publishing their MCP servers to the MCP Registry. It is ideal for developers looking to streamline the deployment of their MCP applications.

MCP Servers provides a collection of optimized servers for the Model Context Protocol, facilitating seamless integration with various applications. This tool is ideal for developers looking to enhance their applications with advanced AI capabilities and efficient data handling.

This repository provides examples and usage of MCP tools within the LangChain ReAct agent framework. It is ideal for developers looking to understand how to implement and utilize these tools in Python applications.

MCP Web Search is a Playwright-based Python tool designed to bypass Google's anti-bot mechanisms for executing searches. It serves as both a command-line utility and an MCP server, providing real-time search capabilities for AI assistants.

Medical GPT Agent is an end-to-end medical agent that integrates various advanced capabilities including SFT, DPO, RAG, and vision processing. It is designed for developers and researchers looking to implement AI solutions in the medical field.

This tool provides a memory pipeline specifically designed for Semantic Kernel agents, enhancing their ability to retain and utilize information. It is ideal for developers looking to implement memory functionalities in their AI applications.

This tool automatically generates mind maps locally without requiring key authorization. It is designed for users looking to enhance their brainstorming and organization processes through visual mapping.

MJ Dify on WeChat Plugin allows seamless integration with WeChat for enhanced functionality. It is ideal for developers looking to extend WeChat's capabilities with custom features.

This project provides insights into building AI agents using Langchain and Autogen. It is ideal for developers and data scientists looking to enhance their MLOps skills with practical examples.

This repository provides a mental model for understanding the landscape of large language models and AI agents. It is ideal for developers and researchers looking to deepen their knowledge in AI technologies and their applications.

This repository provides a modern C++ implementation of the Model Context Protocol (MCP) for developing AI-powered applications. It is designed for developers looking to integrate external tools into their applications using a standardized protocol.

This repository provides a Model Context Protocol (MCP) server designed for seamless connectivity to Snowflake databases and efficient SQL query execution. It is ideal for developers looking to integrate Snowflake with various applications using a standardized protocol.

This server implements the Model Context Protocol for advanced Retrieval-Augmented Generation (RAG) using Knowledge Graphs. It is designed for developers looking to enhance their AI applications with sophisticated context management capabilities.