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

GPTMe is a terminal-based agent that can write code, use the terminal, and browse the web, allowing users to create their own persistent autonomous agents. It is designed for developers and tech enthusiasts looking to enhance their productivity with AI capabilities directly in their command line interface.

Agent Service Toolkit is a comprehensive toolkit for deploying AI agent services using LangGraph, FastAPI, and Streamlit. It is designed for developers looking to build and manage AI agents efficiently.

This is the official C# SDK for Model Context Protocol servers and clients, designed to facilitate integration with Model Context Protocol. It is ideal for developers looking to build applications using C# that interact with MCP servers and clients.

HttpRunner is an open-source API/UI testing framework that is simple to use yet powerful, featuring a rich plugin mechanism and high extensibility. It is designed for developers and testers looking to streamline their testing processes with a flexible tool.

This repository serves as a comprehensive resource for aspiring AI and ML research engineers, covering a wide range of topics from algorithms to deep learning. It is ideal for students and professionals looking to deepen their understanding of mathematics and computer science in the context of artificial intelligence.

Logfire is an AI observability platform designed for monitoring and evaluating production LLM and agent systems. It is ideal for developers and data scientists looking to enhance the performance and reliability of their AI applications.

Ouroboros is an agent operating system designed to streamline the process of specifying tasks for AI agents. It is ideal for developers looking to enhance their AI applications with a robust framework for agent management.

Jupyter AI is an open-source extension that connects AI agents to computational notebooks in JupyterLab. It is designed for data scientists and developers looking to enhance their notebook experience with AI capabilities.

This repository provides a comprehensive collection of 50 real-world use cases for OpenClaw, tailored for both domestic and international contexts. It is designed for users interested in automation, content creation, and AI assistance, particularly in Chinese-speaking environments.

Honcho is a memory library designed for building stateful AI agents, enabling them to retain and utilize context over time. It is ideal for developers looking to enhance their AI applications with advanced memory capabilities.

AlgoWiki is a comprehensive repository that aggregates links and resources on various topics in Computer Science. It is ideal for students and professionals seeking to enhance their knowledge in algorithms, artificial intelligence, and competitive programming.

The GenAI Cookbook provides a collection of resources and examples for building generative AI applications. It is designed for developers and data scientists looking to leverage AI technologies in their projects.

Koog is a JVM framework designed for building predictable and fault-tolerant AI agents across various platforms, including backend services and mobile environments. It is ideal for developers looking to implement complex AI solutions using Java and Kotlin.

MCP to OpenAPI Proxy Server is a secure solution that allows seamless integration between MCP systems and OpenAPI specifications. It is ideal for developers looking to enhance their API capabilities with a reliable proxy server.

Semantic Router is a system-level intelligent router designed for managing mixture-of-models across cloud, data center, and edge environments. It is ideal for developers and data scientists looking to optimize AI model deployment and routing in complex infrastructures.

This repository offers a comprehensive collection of data science topics, including articles, videos, and code examples. It is ideal for learners and practitioners looking to enhance their knowledge and skills in data science and AI.

Tiny LLM is a comprehensive course designed for systems engineers to learn about LLM inference serving on Apple Silicon. It guides users through building a tiny vLLM and Qwen, making it ideal for those interested in practical applications of large language models.

Spec Workflow MCP is a Model Context Protocol server that enhances AI-assisted software development with structured workflow tools. It is designed for developers seeking to monitor and manage their project's progress through a real-time web dashboard and a VSCode extension.

Learn Agentic AI through the Dapr Agentic Cloud Ascent design pattern, focusing on various agent-native cloud technologies. This resource is ideal for developers and data scientists looking to enhance their understanding of AI agents and cloud integration.

DeepAnalyze is an autonomous data science tool that leverages agentic LLMs to perform data analysis and generate professional reports with a single click. It is designed for data scientists and analysts looking to streamline their data processing and reporting workflows.

M Flow is a bio-inspired cognitive memory engine designed to enhance AI reasoning and memory capabilities. It is ideal for developers looking to implement advanced memory structures in their AI applications.

This repository provides a comprehensive guide to building large language models from scratch using Python. It is designed for learners who want to deepen their understanding of model principles through practical implementation.

CSGHub is an open-source platform designed for managing large language models (LLMs) and datasets, offering users full control over their lifecycle. It is ideal for developers and data scientists looking for a robust solution comparable to Hugging Face, with Python SDK compatibility.

The Claude Code Guide provides comprehensive setup instructions, commands, workflows, and tips for users to enhance their skills with Claude AI. It is designed for both beginners and advanced users looking to maximize their productivity with Claude's capabilities.

Agenta is an open-source LLMOps platform that provides a comprehensive suite for prompt management, evaluation, and observability of large language models. It is designed for developers and researchers looking to streamline their LLM workflows and enhance their model performance.

OpenMemory is a local persistent memory store designed for LLM applications, enabling efficient memory retrieval and storage. It is ideal for developers working with AI models like Claude, GitHub Copilot, and others who need a robust memory solution.

VLMEvalKit is an open-source evaluation toolkit designed for large multi-modality models, supporting over 220 models and 80 benchmarks. It is ideal for researchers and developers looking to assess the performance of various AI models in a comprehensive manner.

AdalFlow is a powerful library designed to build and auto-optimize applications using large language models (LLMs). It is ideal for developers looking to enhance their AI applications with advanced optimization techniques and frameworks.

AI Cookbook provides examples and tutorials designed to assist developers in building AI systems. It is ideal for those looking to enhance their understanding and practical skills in AI development.

Spark NLP is a state-of-the-art natural language processing library built on Apache Spark, designed for large-scale data processing. It is ideal for data scientists and developers looking to implement advanced NLP techniques in their applications.

TencentDB Agent Memory provides a fully local long-term memory solution for AI agents through a robust four-tier pipeline. It is designed for developers looking to enhance their AI applications with efficient memory management without relying on external APIs.

Open Agents Control is an AI agent framework designed for plan-first development workflows, enabling approval-based execution. It supports multiple programming languages and includes features like automatic testing and code validation, making it ideal for developers looking to enhance their coding processes.

Lemonade enables users to discover and run local AI applications by leveraging optimized large language models directly on their own GPUs and NPUs. This tool is ideal for developers and AI enthusiasts looking to deploy AI solutions locally without relying on cloud services.

This repository provides comprehensive guidance on building your own Retrieval-Augmented Generation (RAG) application. It is ideal for developers and AI enthusiasts looking to implement RAG techniques using Python and machine learning.

MCP Server Chart is a powerful visualization tool that offers over 25 visual charts for data analysis and chart generation. It is ideal for developers and data analysts looking to enhance their data presentation capabilities with customizable visualizations.

LightLLM is a lightweight Python-based framework designed for efficient inference and serving of large language models. It is ideal for developers looking to implement scalable and high-performance LLM solutions in their applications.

OpenRAG is a comprehensive Retrieval-Augmented Generation platform designed for developers looking to enhance their applications with advanced search capabilities. It integrates seamlessly with Langflow, Docling, and Opensearch, making it ideal for those building intelligent systems.

Decepticon is an autonomous hacking agent designed for red team operations, enabling users to automate penetration testing tasks. It is ideal for cybersecurity professionals looking to enhance their offensive security capabilities with AI-driven tools.

This repository provides reference workflows for generative AI, optimized for accelerated infrastructure and microservice architecture. It is ideal for developers and researchers looking to implement and experiment with advanced AI models in a practical setting.

Langroid is a powerful framework that enables developers to harness the capabilities of large language models through multi-agent programming. It is designed for AI practitioners looking to build sophisticated applications using LLMs.

OptiLLM is an optimizing inference proxy designed for large language models, enhancing their performance and efficiency. It is ideal for developers and researchers working with AI models who need to optimize inference processes.

ChatGPT Neovim Plugin enables effortless natural language generation using OpenAI's ChatGPT API directly within the Neovim editor. It is designed for developers and writers who want to enhance their coding and writing experience with AI assistance.

Segment Geospatial is a Python package designed for segmenting geospatial data using the Segment Anything Model (SAM). It is ideal for data scientists and developers working with geospatial datasets who need advanced segmentation capabilities.

ChatGPT On CS is an intelligent customer service tool that integrates with multiple platforms such as WeChat, Douyin, and Bilibili, allowing businesses to utilize AI for handling text, voice, and image interactions. It is designed for companies looking to enhance their customer engagement through AI-driven solutions using GPT-3.5 or GPT-4.0.

Claude Scholar is a semi-automated research assistant designed to aid in academic research and software development. It supports various AI tools across the entire research process, making it ideal for researchers and developers looking to streamline their workflow.

This repository provides a comprehensive collection of tutorials on Deep Learning, Artificial Intelligence, and Machine Learning across various domains. It is ideal for learners and practitioners seeking to enhance their knowledge in AI and its applications in diverse industries.

Acme is a library that provides a collection of reinforcement learning components and agents. It is designed for researchers and developers looking to build and experiment with RL algorithms.

Claudable is an open-source web builder that utilizes local CLI agents to streamline the process of building and deploying products. It is designed for developers looking to leverage AI agents for efficient product development.

Gophernotes is a Go kernel for Jupyter notebooks, enabling users to run Go code in an interactive notebook environment. It is ideal for data scientists and developers looking to leverage Go for data analysis and machine learning tasks.

AI Gateway allows users to seamlessly integrate and call over 100 LLMs using any SDK, providing built-in failover, load balancing, and cost control. It is designed for developers and organizations looking to enhance their applications with advanced AI capabilities.