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

GenAI is a comprehensive resource that explores core LangChain concepts, including models, prompts, and document loaders. It is designed for developers and AI enthusiasts looking to build practical generative AI and retrieval-augmented generation workflows.

This tool enables game characters to recognize users and remember previous conversations, enhancing interactive experiences. It is designed for game developers looking to implement memory features in their AI-driven characters.

This GenAI chat agent is built with the Strands Agents SDK and Amazon Bedrock, providing a robust solution for AI-driven conversations. It is ideal for developers looking to implement observability in their applications using OpenTelemetry.

GENAI Multi-Agent Phidata is an automated tool that extracts content from URLs and generates AI/ML use cases using Phidata's Gemini model. It is designed for businesses and researchers looking to streamline market research and gather insights quickly for informed decision-making.

This tool provides a template for creating a GenAI bot that integrates Google Cloud PaLM APIs with Microsoft Teams. It is designed for developers looking to enhance their Teams applications with AI capabilities.

This repository provides insights into learning about large language models (LLMs) and their integration with tools like Wikipedia. It is ideal for individuals looking to understand and create chatbots using LangChain and various LLMs.

This project is a conversational AI application that utilizes generative AI to create an intelligent chatbot. It is designed for developers looking to implement context-aware interactions in their applications.

This repository provides a collection of Generative AI code samples and notes, showcasing the usage of LLMs with tools like LangChain. It is ideal for developers and data scientists looking to enhance their understanding of generative AI through practical examples.

This repository contains demos showcasing the use of Generative AI in C# with Semantic Kernel. It is designed for developers and AI enthusiasts looking to explore practical applications of AI in C# programming.

This repository showcases a collection of interesting implementations of generative AI use cases. It is ideal for developers and researchers looking to explore various applications of generative AI technologies.

This repository demonstrates the power of LangChain for building generative AI applications. It is ideal for developers looking to integrate language models with diverse data sources and APIs for advanced NLP and automation capabilities.

This repository provides samples and resources for a workshop focused on building language-centered business applications using LLMs, Python, and .NET. It is ideal for developers and practitioners looking to enhance their skills in generative AI and related technologies.

This repository provides insights into Generative AI and Agentic AI, focusing on tools like LangChain and n8n Automations. It is ideal for researchers and developers interested in building RAG-powered applications and multi-agent workflows for automation and intelligence analysis.

GenericSuite App Maker is an AI tool designed to enhance software development ideation and streamline the selection and testing of AI models and features. It is ideal for developers looking to leverage AI in their application development process.

GenkitKraft is a self-hostable platform designed for configuring and running LLM agents, allowing users to create agents with custom instructions. It is ideal for developers looking to integrate and manage multiple AI tools through an OpenAI-compatible API.

GenZilla is a full-stack AI-powered web application designed for content generation tasks using advanced LLMs. It caters to developers, students, content creators, and tech enthusiasts looking for tools in code generation, summarization, and paraphrasing.

GEO is a tool designed to audit and optimize websites for AI search visibility, enhancing performance across various AI platforms. It is ideal for web developers and SEO specialists looking to improve their site's interaction with AI technologies.

GeoHelper is a local LLM-powered GIS assistant that transforms natural language queries into executable geospatial workflows. It is designed for users seeking privacy and automation in their geospatial tasks using open-source tools.

GeoRisk AI is an agent-based system that analyzes geopolitical events and their impact on India's economy and resources. It is designed for analysts and decision-makers seeking to understand complex geopolitical dynamics through structured reports.

GeoSim is a real-time geopolitical AI simulator that utilizes swarm intelligence to analyze global events and stock market trends. It is designed for researchers and developers interested in geopolitical simulations and AI-driven market analysis.

Get Chat Command is a Bash script tool that generates bash commands from natural language using AI APIs. It is designed for developers and system administrators who want to streamline their command-line workflow with AI assistance.

This repository contains code and lab files for Google's Qwiklab on the Agent Development Kit (ADK). It is designed for developers looking to get hands-on experience with AI agent development.

This plugin integrates Sber's GigaChat AI models with Dify, enabling functionalities such as chat, streaming, function calling, and embeddings. It is designed for developers looking to enhance their applications with advanced AI capabilities.

This GitHub Action transforms commit messages into client email updates using OpenAI and SMTP. It is designed for developers looking to automate client communication based on their commit history.

This plugin integrates GitHub functionality into ChatGPT applications, allowing users to summarize repositories and answer specific questions. It is designed for developers looking to enhance their applications with GitHub data insights.

GitHub Repo Quickstart is an AI agent skill designed to generate fast, developer-first onboarding guides for unfamiliar GitHub repositories. It is ideal for developers looking to quickly understand and navigate new projects on GitHub.

GitHub Standup Agent generates AI-powered daily standup summaries based on GitHub activity. It is designed for teams looking to streamline their daily standup meetings with automated insights from their project activities.

This repository provides an enhanced implementation of the GitLab MCP server for Anthropic's model context protocol. It is designed for developers looking to integrate AI capabilities into their GitLab workflows.

GitLab MCP server provides a robust framework for building and managing AI agents. It is designed for developers looking to integrate AI capabilities into their GitLab workflows.

GLM2API converts web requests from chatglm.cn into OpenAI-compatible API endpoints, enabling seamless integration with standard LLM tools and SDKs. This tool is ideal for developers looking to bridge different AI models and enhance their applications with OpenAI's capabilities.

Go LLM SDK is a developer-friendly Go SDK designed for building applications with various large language models, including OpenAI and Anthropic. It provides a fluent builder API with extensive features for developers looking to integrate LLM capabilities into their Go applications.

Goatclaw is an advanced multi-agent orchestration system that supports local LLMs and provides an interactive terminal for users. It is designed for developers looking to manage API keys and orchestrate multiple agents efficiently.

Gokin SDK is a Go framework designed for building AI agents with capabilities such as tool use, multi-agent orchestration, and planning. It is ideal for developers looking to create sophisticated AI applications using various AI models including OpenAI and Gemini.

This tool provides an agent skill for Google's Agent Development Kit, enabling developers to enhance their applications. It is ideal for developers looking to integrate advanced AI capabilities into their projects using Google's framework.

This tutorial provides a step-by-step guide on using Google ADK and the A2A Protocol for multi-agent systems. It is designed for developers and researchers looking to implement multi-agent AI solutions.

This template provides a foundational implementation for building conversational agents using Google ADK and GPT-4. It is ideal for developers looking to create interactive AI agents with integrated tool capabilities.

This tool creates an agent that utilizes retrieval-augmented generation (RAG) with the Google ADK. It is designed for developers looking to integrate advanced AI capabilities into their applications.

This repository provides a collection of implementation samples for Google ADK, aimed at developers looking to understand and utilize the Google ADK effectively. It serves as a practical resource for those interested in integrating Google services into their applications.

The Google ADK Wrapper V2 connects Google Cloud ADK bundles with cloud databases to facilitate long-term memory storage. It is designed for developers looking to integrate Google Cloud services with various database solutions.

This repository provides practical examples for learning Google's Agent Development Kit (ADK), which is designed for building LLM-powered agents. It is ideal for developers looking to enhance their skills in creating multi-agent systems using Google's framework.

The Google Agent Development Kit Samples provide practical examples for developers looking to create agents using Google's tools. This resource is ideal for developers and enthusiasts interested in building and experimenting with AI agents.

This tool fetches and prints sales prices of Arçelik brand deep freezers from the Akakçe platform, organized by sellers and product types. It is designed for developers looking to automate data retrieval and processing using a local database.

This repository provides personal tests on the GOOGLE GEMINI API, aimed at enhancing understanding and application of AI technology. It is ideal for developers and researchers looking to explore practical implementations of AI using Google's tools.

This tool demonstrates how to integrate MongoDB agents with Google Cloud's ADK and MCP Toolbox. It is designed for developers looking to leverage AI agents within the Google Cloud ecosystem.

This tool integrates AI assistants with Google Tasks using the Model Context Protocol, enabling seamless task management. It is designed for developers looking to enhance productivity through AI-driven task automation.

GoSec is a model-agnostic security agent that orchestrates tools like Nmap and Lynis using natural language for security audits and compliance checks. It is designed for security professionals seeking to automate complex security assessments across various frameworks such as NIST, CIS, HIPAA, and GDPR.

GPT Agency is a tool that automates the coding of entire projects using the latest OpenAI Assistants API. It is designed for developers looking to streamline their project development process with AI assistance.

The GPT Angular Starter Kit is a dynamic tool designed for creating document-based Q&A applications using GPT and LangChain. It is ideal for developers looking to build interactive chat interfaces with Angular, leveraging Google Cloud and Firebase for data management.

This tool provides a Python implementation for interacting with OpenAI endpoints and Azure Search using Semantic Kernel. It is designed for developers looking to integrate AI capabilities into their applications with Azure's search functionalities.

GPT Disclosure Analyzer is a Python tool designed for extracting and analyzing sections from SEC EDGAR filings using keyword filtering and OpenAI's APIs. It is ideal for professionals in finance and compliance looking to automate document analysis of corporate disclosures.