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

This repository curates essential research papers and links to tools and datasets focused on the application of machine learning in compilers and systems optimization. It serves as a valuable resource for researchers and practitioners interested in advancing the field of compiler technology through machine learning techniques.

RAPTOR is a framework designed for recursive abstractive processing, enabling efficient retrieval in tree-organized structures. It is ideal for researchers and developers working on advanced machine learning and retrieval-augmented generation tasks.

Code Boarding provides interactive architecture diagrams for codebases, enhancing code understanding and documentation. It is ideal for developers and teams looking to visualize and explain their code structures effectively.

LangGraph for Java is a library designed to develop AI Agentic Architectures within the Java ecosystem. It seamlessly integrates with both Langchain4j and Spring AI, making it ideal for Java developers looking to implement AI solutions.

This repository offers a curated list of resources for Artificial Intelligence, Machine Learning, and Deep Learning, making it an invaluable tool for learners and practitioners. It includes study notes and links to various educational materials, suitable for anyone looking to deepen their understanding of these fields.

Ava WhatsApp Agent Course provides a comprehensive guide to building an intelligent agent for WhatsApp. This resource is ideal for developers looking to enhance their skills in creating conversational agents using modern technologies.

This repository provides a comprehensive step-by-step guide to building your own AI agent. It is ideal for developers and enthusiasts looking to understand and create AI agents using Python.

Timefold Solver is an open-source AI tool designed for optimizing scheduling and routing problems using Java and Kotlin. It is ideal for developers and organizations looking to solve complex planning challenges such as vehicle routing, employee rostering, and task assignment.

Openless is an open-source voice input tool that allows users to dictate text and receive AI-polished output in any application. It is designed for users on macOS and Windows who seek a seamless voice-to-text experience.

The MCP Server and CLI tool provides real-time access to trusted Microsoft documentation and code samples for powering LLMs and AI agents. It is designed for developers and AI practitioners looking to integrate Microsoft resources into their applications.

The LM Studio TypeScript SDK provides a robust framework for integrating language models into applications. It is designed for developers looking to leverage LLM capabilities in their TypeScript projects.

Beta9 provides ultrafast serverless GPU inference and background job capabilities, ideal for developers looking to optimize their machine learning workflows. It supports a variety of use cases, including fine-tuning large language models and running serverless applications.

Meta Transformer is a framework designed for unified multimodal learning, enabling the integration of various data types such as text, images, and audio. It is ideal for researchers and developers looking to build advanced AI models that leverage multiple modalities.

This repository provides a machine learning framework for predicting NBA game outcomes and optimizing sports betting strategies. It is designed for data scientists and sports analysts looking to leverage AI in sports betting.

Open Custom GPT allows users to create and embed custom GPTs on their websites using the Assistants API. This tool is ideal for developers and businesses looking to integrate advanced AI chat capabilities into their online platforms.

DreamServer is a versatile local AI platform that enables users to run LLM inference, chat interfaces, and various workflows without relying on cloud services. It is ideal for developers and enthusiasts looking for a self-hosted solution for AI applications.

Clawflows provides powerful prebuilt agent workflows for Openclaw, enhancing its capabilities. It is designed for developers looking to streamline their workflow automation with ready-to-use solutions.

Ragbits provides essential building blocks for the rapid development of Generative AI applications. It is designed for developers looking to streamline their workflow and enhance their AI projects.

Skills Manager is a lightweight desktop application designed to manage, sync, and organize AI agent skills across various coding tools. It is ideal for developers looking to streamline their workflow with multiple AI coding assistants.

AgentDock is a versatile platform that enables users to build and deploy AI agents for various applications. It is designed for developers looking to leverage AI capabilities in their projects with a focus on flexibility and integration.

This open-source eBook provides foundational knowledge and practical insights into the application of large language models (LLMs) in real-world scenarios. It is ideal for developers and architects looking to understand LLMs, including prompt crafting and application development patterns.

Langchain Serve enables the deployment of Langchain applications in production environments using Jina and FastAPI. It is ideal for developers looking to build and scale AI-driven applications efficiently.

Trench is an open-source analytics infrastructure that allows users to build product analytics dashboards and observability platforms using a production-ready Docker image. It is ideal for developers and data teams looking to implement event tracking and analytics solutions efficiently.

Building AI is a modular system that allows users to create their own AI applications easily, such as enterprise intelligence systems and AI customer service systems. It is designed for individuals and organizations looking to leverage AI technology without extensive programming knowledge.

Skills is a resource designed to teach agents how to build applications on the Cloudflare platform. It is ideal for developers looking to enhance their understanding of Cloudflare's capabilities and integrate them into their projects.

PageLM is an educational platform that transforms study materials into interactive resources like quizzes, flashcards, and podcasts. It is designed for students and educators looking to enhance their learning experience through innovative tools.

LLMUnity enables developers to create interactive characters in Unity using large language models. This tool is ideal for game developers looking to enhance their NPCs with advanced conversational capabilities.

Agentic RAG Survey delves into advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents. It is designed for developers and researchers interested in exploring innovative AI frameworks and workflows.

This repository serves as a comprehensive cheat sheet for AI engineering interview preparation, featuring a collection of questions and answers. It is ideal for candidates looking to enhance their knowledge and confidence before interviews in the AI field.

This MCP server offers tools and resources for seamless interaction with the n8n API. It is designed for developers looking to integrate and automate workflows using n8n.

Slack MCP Server is a powerful multi-channel processing server designed for seamless integration with Slack. It is ideal for developers looking to enhance their Slack applications with advanced features and functionalities.

Picolm enables users to run a 1-billion parameter language model on low-cost hardware, making advanced AI accessible to a wider audience. It is ideal for developers and researchers interested in deploying large language models on embedded systems.

WhisperJAV is an ASR/STT subtitle generator that utilizes advanced models like Qwen3-ASR and Whisper for noise-robust transcription. It is designed for developers and researchers looking to enhance subtitle generation for Japanese adult videos.

Lemmy is a wrapper around tools that utilize large language models (LLMs) for agentic workflows. It is designed for developers looking to integrate LLM capabilities into their applications seamlessly.

The Kubernetes MCP Server implements the Model Context Protocol for Kubernetes and OpenShift, enabling better management of context in containerized environments. It is designed for developers and operators looking to enhance their Kubernetes and OpenShift deployments with advanced context handling capabilities.

AssetOpsBench provides a comprehensive framework for developing and evaluating AI agents tailored for Industry 4.0 asset operations and maintenance. It is designed for researchers and practitioners looking to implement domain-specific solutions across various scenarios.

This tool provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It is designed for developers and researchers looking to enhance their AI applications with sophisticated graph-based algorithms.

LLM Chain is a powerful Rust crate designed for building chains in large language models, enabling users to summarize text and complete complex tasks. It is ideal for developers looking to leverage advanced language processing capabilities in their applications.

MultiAgentPPT is an intelligent presentation generation system that integrates A2A, MCP, and ADK architectures. It is designed for developers looking to leverage multi-agent collaboration and streaming concurrency for creating presentations.

MCP Host is a CLI application that allows Large Language Models to interact with external tools using the Model Context Protocol. It is designed for developers looking to enhance LLM capabilities by integrating them with various external systems.

This repository curates a comprehensive list of tools, documents, and projects focused on the security of large language models (LLMs). It is ideal for researchers, developers, and security professionals looking to enhance their understanding and implementation of LLM security measures.

OpenAdapt is an open-source platform designed for generative process automation using advanced AI models. It is ideal for developers and organizations looking to implement AI-driven automation solutions across various processes.

Functionary is a chat language model designed to utilize various tools and interpret their results effectively. It is ideal for developers looking to integrate advanced AI capabilities into their applications.

This repository provides a curated list of valuable resources and tools for LLM prompt engineering. It is ideal for developers and researchers looking to enhance their understanding and application of prompt engineering techniques.

Agent Rules Books provides a comprehensive collection of rules and skills for AI coding agents, drawing inspiration from established programming principles and literature. This resource is ideal for developers looking to enhance their AI coding practices and improve code quality.

WikiChat is an advanced retrieval-augmented generation (RAG) tool designed to minimize hallucinations in large language models by sourcing data from a specific corpus. It is ideal for developers and researchers looking to enhance chatbot accuracy and factuality in natural language processing applications.

LOTUS is an AI-powered data processing framework that enables users to efficiently process datasets using LLMs and embeddings. It is designed for data scientists and developers looking for fast and accurate query processing with a familiar Pandas-like syntax.

This repository provides a comprehensive list of over 180 YouTube channels focused on Data Science, Machine Learning, and Computer Science. It's an invaluable resource for learners and professionals seeking to enhance their knowledge through curated video content.

The Synthetic Data Kit is a powerful tool designed for generating high-quality synthetic datasets. It is ideal for data scientists and machine learning practitioners looking to create diverse datasets for training and testing models.

uAgents is a fast and lightweight framework designed for creating decentralized agents effortlessly. It is ideal for developers looking to build and deploy multi-agent systems in various applications.