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

Jobshunt is a local-first job search automation tool that helps users tailor their resumes and evaluate job opportunities effectively. It is ideal for job seekers looking for a self-hosted solution to optimize their job application process without relying on a cloud backend.

JourneyCraft AI is a framework for building multi-agent systems using AutoGen and OpenAI technologies. It is designed for developers looking to create sophisticated AI-driven applications with ease.

Kayaclaw is a personal AI agent designed to run in a secure Docker container, utilizing Telegram for interaction and SQLite for memory storage. It is ideal for developers looking to create customizable AI solutions with various LLM providers.

Kernel Blaze Mind combines Semantic Kernel with MAUI Blazor to intelligently process tasks using multiple LLMs. It is designed for developers seeking high adaptability and efficient solutions for complex workflows.

The Kernel Semantic Firewall (KSF) is an open-source security solution designed for the AI ecosystem, leveraging eBPF and XDP technologies. It is ideal for developers and organizations looking to enhance their AI applications' security and performance.

KiloStar is a next-generation distributed multi-agent collaboration system built on Ray and Pydantic-AI. It is designed for developers looking to automate complex tasks reliably using a heterogeneous cluster architecture.

This tool provides real-time access to Kintone records when creating flows in Dify, enhancing integration capabilities. It is designed for users looking to streamline their workflow with Kintone and Dify.

This tool is designed to autonomously analyze customer interactions and manage comment responses and private messaging on the Xiaohongshu platform. It is ideal for businesses looking to enhance their customer engagement through automated interactions.

Lain is an AI agent built using the Google ADK, designed for developers looking to integrate AI capabilities into their applications. It provides a framework for creating and managing AI-driven functionalities in local environments.

This repository provides implementations of agents and tools using the LangChain library, including Native Tools like PythonREPL and DuckDuckGoSearchRun. It is ideal for developers looking to leverage LangChain for building AI-driven applications in Python and React.

This is a full-stack application built with LangChain, SpringBoot, and React, designed for integrating internal data and APIs while allowing document uploads for retrieval-augmented generation (RAG). It is ideal for developers looking to leverage LangChain capabilities in a comprehensive application setup.

This repository provides hands-on experiments with LangChain prompt engineering and chat templates, aimed at helping developers understand the intricacies of prompt design and message handling. It is ideal for those looking to enhance their skills in building advanced AI systems using LangChain.

This repository provides a collection of examples for using LangChain tools in Python. It is ideal for developers looking to learn and implement LangChain functionalities in their projects.

Langflow API Chat provides a user interface that integrates with DataStax Langflow chat bots, enabling seamless interaction. It is designed for developers looking to enhance their chat applications with a robust UI experience.

LangGraph Booking Agent is an AI-powered travel assistant that facilitates booking flights, hotels, cars, and excursions using Google AI. It is designed for travelers seeking a streamlined booking experience with multiple tools at their disposal.

LangGraph ChatBot is an agent-based AI chatbot that integrates LangChain, LangGraph, and Streamlit for enhanced tool usage and document-based question answering. It is designed for developers looking to build interactive chatbots with advanced capabilities.

This tool is a LangGraph-based code agent that generates and executes code iteratively. It is designed for developers looking to enhance their coding efficiency through automated code generation.

LangGraph Library allows you to serve your AI agent as a REST API endpoint, enhancing scalability. It is designed for developers looking to deploy AI agents efficiently in their applications.

This tool serves as a multi-agent AI orchestrator, enabling critic loops and human-in-the-loop interactions for enhanced research automation. It is designed for developers and researchers looking to streamline their AI workflows with parallel tool calling capabilities.

This repository provides a skills assessment tool designed to help users build AI agents using LangGraph. It is ideal for developers looking to enhance their understanding and capabilities in AI agent development.

Langraph is a demonstration repository for building chatbots using the LangGraph library, which facilitates the creation of stateful, multi-actor applications with large language models. It is ideal for developers looking to implement agent and multi-agent workflows in their applications.

LangScript enables natural-language programming using large language models and AutoGPT. It is designed for developers looking to integrate LLM capabilities into their programming workflows.

Laragraph enables developers to build stateful, multi-agent LLM workflows within the Laravel framework. It is designed for PHP developers looking to integrate advanced AI capabilities into their applications.

This tool allows users to edit or translate contracts and formal documents while maintaining their original layout. It is designed for professionals who need to ensure document integrity during modifications.

LayoverOS is an autonomous recovery agent designed to assist stranded travelers by providing state-persistent solutions. It leverages MongoDB Atlas Vector Search and LangGraph to deliver effective travel assistance.

Leads Qualifier Agent is an autonomous AI tool designed to classify, enrich, and score inbound business leads. It is ideal for businesses looking to automate their lead qualification process using advanced AI technologies.

This repository provides resources to learn and experiment with n8n and Agentic AI for building intelligent automation workflows. It is ideal for developers and automation enthusiasts looking to enhance their skills in creating automated solutions.

This repository provides a comprehensive guide to getting started and advancing your understanding of large language models and agents using Semantic Kernel. It is ideal for developers and enthusiasts looking to deepen their knowledge in AI and machine learning.

Learning ADK provides practical examples for understanding Google's Agent Development Kit (ADK). It is designed for developers looking to enhance their skills in building AI agents using Google's tools.

Learning CrewAI is a Python project that demonstrates the CrewAI framework for building AI-powered agent crews. It is designed for developers looking to understand and implement agent-based modeling using CrewAI.

This repository provides examples of agents built with LangGraph.js, supporting a blog post series. It is ideal for developers looking to learn and implement LangGraph in their projects.

Leave Management Agent is an intelligent tool that automates leave management processes with AI-powered policy checks and human-in-the-loop approvals. It is designed for organizations looking to streamline their leave management workflows efficiently.

Lecturify Plus is a tool that converts lecture audio into structured notes and generates quizzes and flashcards for effective studying. It is designed for students and educators looking to enhance their learning experience through organized and interactive resources.

Light TRPG Agent is a simple game master agent for Table Talk RPGs, allowing users to interact with an AI to advance their story. It is designed for RPG enthusiasts looking for an engaging and interactive gaming experience.

Lightdash AI Tools provides custom tools designed for AI frameworks like LangChain, enhancing data interaction capabilities. It is ideal for developers looking to integrate AI functionalities with data analytics platforms.

LimitAI is a CLI tool designed to monitor LLM rate limit utilization across various platforms like Claude and Codex. It is ideal for developers who want to track their usage and ensure they stay within their paid quotas.

LinkedIn AI Poster is an intuitive React dashboard that automates trend-driven LinkedIn posts using CrewAI agents. It is designed for professionals looking to enhance their social media presence effortlessly.

Litellm2 is a powerful AI framework that offers structured Pydantic responses and flexible LLM integration. It is designed for developers looking to build advanced agent capabilities in their applications.

Little Agent Chatbot is a simple AI agent that utilizes RAG (Retrieval-Augmented Generation) to provide functionalities like real-time weather updates and local document retrieval. It is designed for developers looking to implement a lightweight chatbot solution using Python and various AI tools.

LKEAP is a plugin designed to enhance the Dify platform by integrating advanced functionalities. It is ideal for developers looking to extend Dify's capabilities with custom plugins.

This tool enables agents to perform complex tasks by breaking them down into subtasks and solving them step by step, while maintaining conversational memory. It is ideal for developers looking to enhance their AI agents with multi-step reasoning capabilities.

LlamaWhip4E is an Eclipse plugin that integrates various LLMs, including Ollama, LocalAI, ChatGPT, and Copilot, into the Eclipse IDE. It is designed for developers looking to enhance their coding experience with AI assistance directly within their development environment.

LLM Agent Benchmark provides a framework for benchmarking language model agents in local environments. It is designed for developers and researchers looking to evaluate the performance of various AI agents.

LLM Agent Dev provides multiple agents for tasks such as file management, finance, search, and teaching, all operable via natural language commands. It is designed for developers looking to integrate versatile AI tools into larger projects.

LLM Agent Platform provides a robust framework for building reliable workflows for large language model agents using distributed systems patterns. It is ideal for developers looking to implement scalable AI solutions with NestJS and PostgreSQL.

This repository provides a framework for executing LLM agents using LangGraph and Docker, enabling a containerized environment for code execution. It is ideal for developers looking to build and deploy AI agents in a scalable and isolated manner.

LLM Analysis Jinni is a tool designed for implementing complex analysis tasks using a language model, focusing on small, incremental steps to manage context effectively. It is ideal for developers and data analysts looking to streamline their analysis processes with LLMs.

LLM Benchmark Tool is designed to validate the responses of large language models through benchmarking. It is ideal for developers and researchers looking to assess the performance of LLMs in various scenarios.

This tool enables the creation of AWS CDK applications using an LLM agent swarm. It is designed for developers looking to streamline their cloud infrastructure deployment with AI assistance.

This tool leverages large language models to enhance the code review process by utilizing retrieval-augmented generation for context. It is designed for developers and teams looking to improve their code quality through automated reviews.