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

Google ADK Client is a Node.js SDK designed to facilitate seamless connections between applications and ADK deployments. It is ideal for developers looking to integrate ADK functionalities into their Node.js applications.

Google ADK Projects offers a collection of hands-on demos and mini-projects utilizing Google’s Agent Development Kit. This resource is ideal for developers looking to explore tool-using agents and workflow orchestration techniques.

The Google Agent Development Kit (ADK) Skill provides tools for developing AI agents. It is designed for developers looking to create and deploy custom agent functionalities.

Google AgentKit Starter is a framework designed for building financial advisor agents utilizing Google services. It is ideal for developers looking to create AI-driven applications that integrate with Google's ecosystem.

This tool provides a WebSocket implementation for Google's Speech-to-Text (STT) and Text-to-Speech (TTS) services, allowing seamless integration into applications. It is ideal for developers looking to enhance their projects with voice recognition and synthesis capabilities.

GPT Go is a Figma plugin that leverages ChatGPT to enhance and speed up the design process. It is ideal for designers looking to integrate AI assistance into their workflow for improved efficiency.

This full-stack AI agent integrates Google ADK, Google Maps, and Search grounding to provide a comprehensive solution for developers. It is designed for those looking to build advanced applications leveraging AI and Google services.

Hallucination Guard is a detection tool designed to identify which outputs from language models are free from hallucinations. It is ideal for developers and researchers working with large language models who need to ensure the reliability of generated content.

Hatcha is a party-planning agent that showcases the capabilities of the Flutter GenUI ecosystem. It is designed for developers looking to create dynamic, context-aware interfaces using the A2UI SDK.

Hawkeye is a flight recorder for AI agents, providing observability and security features. It is designed for developers and teams working with AI agents like Claude Code, Aider, and AutoGPT.

This project provides a fullstack solution using LangGraph for AI research and agent development. It is ideal for developers looking to build and experiment with AI agents in a comprehensive environment.

This repository provides a one-click deployment solution for the Hermes Agent on AWS using Amazon Bedrock, enabling seamless integration of multiple AI models. It is ideal for developers looking to leverage cloud infrastructure for AI applications with minimal setup effort.

This tool automates the evolution and optimization of Hermes Agent’s prompts, skills, and code using genetic algorithms. It is designed for developers and researchers looking to enhance AI agent capabilities without the need for GPU training.

Hermes Setup Skill enables the deployment of the Hermes Agent through coding agents, facilitating remote SSH automation and integration with multiple messaging platforms. It is designed for developers looking to streamline agent deployment with various LLM providers and self-hosting capabilities.

Hive is a distributed multi-agent orchestration framework designed for building and managing complex AI workflows. It is ideal for developers looking to create scalable and efficient AI systems that can coordinate multiple agents seamlessly.

HiveMindDB provides shared memory for AI agent swarms, enabling knowledge graphs, semantic search, and real-time channels. It is designed for developers looking to enhance their AI systems with robust data management capabilities.

This project demonstrates a multi-agent customer support system utilizing LangGraph, designed for seamless deployment as a Hosted Agent. It is ideal for developers looking to implement advanced AI-driven customer service solutions within Microsoft environments.

This tool demonstrates how to utilize Semantic Kernel for filtering hotels on a booking website using natural language. It is ideal for developers looking to integrate advanced AI capabilities into their web applications.

This AI-powered customer support agent automates workflows using n8n and enhances interactions with voice capabilities through ElevenLabs. It is designed for businesses looking to improve customer service efficiency and information retrieval.

Iara is an automated code review tool that integrates with CI/CD pipelines or can be run locally via CLI. It is designed for developers looking to enhance their code quality using various LLM models through the OpenRouter API.

InariCode is a TypeScript CLI that serves as an AI coding assistant, integrating multiple chat providers like Claude and OpenAI. It is designed for developers looking to enhance their coding experience with AI tools and customizable configurations.

IRAS is an autonomous AI agent designed for incident response, focusing on triage, root cause analysis, remediation, and post-mortem processes. It is ideal for DevOps teams looking to streamline their incident management workflows with human approval mechanisms.

Iris Agent is a lightweight and flexible framework designed for building AI agents in Python. It simplifies the development process for developers looking to create agents that can utilize tools and interact with various LLM providers.

Jira Agent is a LangChain agent designed to interact with the Jira API, enabling seamless integration for task management. It is ideal for developers looking to automate workflows and enhance productivity within Jira.

This tool is a Streamlit-powered assistant for managing Jira tickets using natural language commands. It is designed for teams looking to streamline their ticket management process with an intuitive interface.

This tool utilizes a multi-agent AI system to help users customize their resumes and prepare for job interviews. It is designed for job seekers looking to enhance their application materials and interview readiness using advanced AI capabilities.

Kaflow Py is a lightweight development framework for AI agents built on Python open-source libraries like LangGraph and LangChain. It enables developers to set up an agent with minimal code, making it ideal for those looking to quickly implement AI solutions.

Kevin ODR is a LangGraph-based multi-agent deep research system designed for developers and researchers looking to leverage multi-agent architectures. It provides a robust framework for building and managing complex agent interactions in research environments.

Knowledge Review is a collection of practical applications for Chinese LLMs, featuring three independent sample projects focused on RAG and agent development. It is designed for developers and learners looking to enhance their skills in AI applications with comprehensive documentation and hands-on exercises.

Kubernetes Agent is an autonomous AI tool designed for debugging and remediation within Kubernetes environments. It is ideal for developers and DevOps professionals looking to streamline their Kubernetes management processes.

LampStack is an AI-powered healthcare provider validation system that leverages multi-agent architecture for automated NPI verification and trust scoring. It is designed for developers and organizations in the healthcare sector looking to enhance their validation processes with advanced AI technologies.

This plugin enables Dify to receive messages from LangBot via webhook, facilitating seamless communication. It is ideal for developers looking to integrate LangBot functionalities into their Dify applications.

This project demonstrates the capabilities of AI-driven agents using the LangChain framework, allowing for interaction with various tools and real-time information retrieval. It is designed for developers looking to implement autonomous agents that respond to voice commands or text queries.

This C++ implementation of the LangChain framework simplifies core concepts like LLMs, Chains, Tools, Agents, and Vector Stores. It is designed for developers looking to integrate API-based models into their C++ applications.

LangChain Playground is an interactive environment for experimenting with LangChain.js and related tools. It is designed for developers and data scientists looking to explore and integrate LLM-related technologies.

LangChain Rust is a robust framework designed for building LLM applications, supporting multiple LLM providers and various storage backends. It is ideal for developers looking to leverage Rust for advanced AI applications and workflows.

This repository provides a quickstart guide for deploying Langflow on Azure using ARM templates. It is ideal for developers looking to set up Langflow in a cloud environment efficiently.

Langflow Guide is a comprehensive resource designed to help users understand and implement Langflow effectively. It is ideal for developers and enthusiasts looking to deepen their knowledge of Langflow through structured guidance and practical examples.

This repository provides a Langfuse integration for Pydantic AI, enabling enhanced observability and tracing for AI applications. It is designed for developers looking to improve their AI systems' monitoring and debugging capabilities.

This tool integrates LangGraph with ROS 2, enabling seamless communication for robotic agents. It is designed for developers working on robotic systems who want to leverage AI capabilities in their applications.

LangGraph Researcher is an agent equipped with ADK tools and Skills for enhanced research capabilities. It is designed for developers and researchers looking to leverage advanced tools in their projects.

LangGraph SQL Agent enables seamless interaction with SQL databases, allowing users to execute queries and manage data efficiently. It is designed for developers and data analysts looking to integrate SQL capabilities into their AI workflows.

This repository provides comprehensive tutorials on LangGraph, covering various agent workflows including swarm and supervisor agents. It is ideal for developers and data scientists looking to enhance their understanding of LangGraph functionalities through practical examples.

Langraph GLM is a framework that utilizes GLM-4-flash, integrating two LLMs and one tool for enhanced language processing. It is designed for developers looking to build applications leveraging advanced language models in their local environments.

Laravel Prompt Alchemist is a versatile LLM tool that enables function calling for Laravel applications, allowing LLMs to execute actual code functions. This package is ideal for developers looking to integrate advanced AI capabilities into their Laravel projects.

LaTeX Translator is a tool that leverages Large Language Model APIs to translate LaTeX documents while maintaining the integrity of commands, formulas, and references. It is designed for researchers and professionals who need to convert LaTeX documents efficiently without losing formatting or functionality.

Legion CC is a multi-agent orchestration framework designed for Claude Code, enabling parallel worker execution and DAG scheduling. It is ideal for developers looking to enhance their AI agent workflows with robust orchestration capabilities.

Leno AI is an open-source multi-agent framework designed for educational purposes, enabling users to explore and implement AI agents. It is ideal for developers and researchers looking to experiment with AI agent architectures and functionalities.

LinoGPT integrates OpenWebUI, LM Studio, and MCP tools to enable the use of local LLMs with web search capabilities. It is designed for developers looking to leverage local language models alongside various online resources and tools.

This tool enables real-time communication between LiveKit and LangGraph agents using speech. It is designed for developers looking to integrate voice capabilities into their LangGraph applications.