Autonomously builds, refines, and optimizes other AI agents using an advanced agentic coding workflow and framework knowledge base.
Facilitates building and deploying fully-managed AI agents and long-running workflows with built-in durability and observability.
Provides coding agents with programmatic access to Chrome DevTools for comprehensive browser control, inspection, and debugging.
Provides an open-source curriculum designed to teach the concepts and fundamentals of the Model Context Protocol (MCP) through practical code examples.
Orchestrates intelligent multi-agent swarms and autonomous workflows to build advanced AI systems.
Extracts and downloads content from XiaoHongShu (RedNote), including user posts, collections, likes, albums, and search results, while removing watermarks.
Exposes Chrome browser functionality to AI assistants for complex browser automation, content analysis, and semantic search.
Unifies metadata for data discovery, observability, and governance through a central repository, in-depth column-level lineage, and seamless team collaboration.
Provides a developer-friendly, embedded retrieval engine for multimodal AI, enabling efficient search and data management.
Provides a backend service for ESP32 devices, enabling rapid deployment of custom intelligent control servers.
Enhances ChatGPT's capabilities by providing advanced custom instructions for both general conversational and specialized coding tasks.
Create, customize, and engage in real-time conversations with AI characters across web, mobile, and terminal platforms.
Create and host AI companions with personalized personalities and conversational memory, accessible via browser or SMS.
Provides a self-hosted web interface and API for interacting with large language models via llama.cpp.
Facilitates agentic AI communication between Cursor and Figma, enabling programmatic reading and modification of design files.
Enhances AI coding agents by providing semantic code search and deep context from an entire codebase.
Provides an all-in-one, intelligent automation testing solution for API, UI, and performance testing across multiple platforms.
Enables secure execution of untrusted user-generated code and AI code.
Provides an open-source implementation of the ChatGPT Code Interpreter using LangChain for sandboxed Python code execution.
Accelerates software development by providing an AI coding assistant that understands codebase context to help write, fix, and explain code.
Enables building LLM-powered applications through a multi-agent programming paradigm.
Provides an open-source implementation of OpenAI's ChatGPT Code interpreter, enabling users to generate and execute code through natural language prompts.
Provides a streamlined Python interface for easily interacting with AI chat models like ChatGPT and GPT-4, emphasizing efficiency and minimal code complexity.
Empower ChatGPT with long-term memory by creating custom knowledge bases from uploaded documents and retrieving relevant answers using the OpenAI and Pinecone vector database stack.
Provides containerized development environments, enabling multiple coding agents to work safely and independently with diverse tech stacks.
Provides an open-source, cloud-native LLMOps platform for designing, deploying, observing, and managing AI applications.
Provides an open-source memory layer specifically designed for AI coding agents.
Connect AI models to thousands of APIs, data sources, and tools with a single function call, abstracting away the complexities of the Model Context Protocol.
Transforms AI agents into specialized experts through a revolutionary conversational context engineering platform.
Automate and control various Apple applications and services through the Model Context Protocol.
Experience AI Xiaozhi's voice and smart assistant functionalities through a versatile Python-based client, enabling access without dedicated hardware.
Unifies Model Context Protocol (MCP) and REST services, providing a central management point for AI clients and federated environments.
Provides AI assistants with comprehensive access to shadcn/ui v4 components, blocks, demos, and metadata via the Model Context Protocol.
Automatically generates and comprehensively evaluates presentations from documents using an innovative agentic AI system.
Intelligently routes large language model requests to the most suitable models and tools for optimized inference, enhanced security, and improved accuracy.
Provides a Gradio web interface for locally running various Llama 2 models on GPU or CPU across different operating systems.
Integrates advanced AI capabilities directly into Zotero, enabling users to chat with PDFs, extract detailed insights, and streamline research workflows.
Automates data integration via a stable, self-healing SDK, providing automated schema-drift detection, retries, and remappings to maintain continuous data flow without connector maintenance or rewrites.
Streamline LLM Agent development with an all-in-one library offering tools, prompts, frameworks, and models.
Transforms existing API servers and services into Model Context Protocol (MCP) compliant endpoints with zero code changes.
Create custom chatbots with personalized knowledge bases using advanced language models.
Accelerate the development and research of complex Retrieval-Augmented Generation (RAG) systems with a low-code, modular framework.
Exposes comprehensive browser functions via the Model Context Protocol, enabling external applications and AI models to programmatically interact with a web browser.
Augment Large Language Models with advanced agent techniques for enhanced reasoning, memory, and intelligent decision-making.
Serve, benchmark, and deploy large language models (LLMs) on various hardware platforms.
Unify access to diverse data sources, from files and databases to popular applications, by querying them with SQL and integrating with large language models.
Exposes Obsidian notes through a secure REST API, enabling automation and integration with other tools.
Provides a modular and extensible Python framework for building and managing Auto-GPT agents.
Offers a comprehensive production toolkit for large language models, providing observability, prompt management, and evaluation capabilities to enhance LLM development.
Automates AI-powered workflows directly within your codebase.
Provides a powerful, self-hostable AI Agent platform for maximum privacy and flexibility, acting as a complete drop-in replacement for OpenAI's Responses APIs with advanced agentic capabilities on consumer-grade hardware.
Provides scalable, fast, and disk-friendly vector search capabilities directly within PostgreSQL.
Provides a secure sandbox environment to test payloads against detection mechanisms before deployment.
Compose data sources into a unified graph using this GraphQL Federation platform.
Provides a robust and scalable operating system foundation for building, deploying, and managing intelligent AI agents.
Enables AI assistants to access and search official Microsoft documentation in real-time.
Automates FinOps processes to reduce cloud costs and streamline financial operations through no-code workflows.
Provides a Java-based server and management platform for Xiaozhi ESP32 devices, enabling device monitoring, voice customization, role switching, and dialogue management.
Serves LangChain LLM applications and agents as robust FastAPI-powered API endpoints.
Automates the publishing of Markdown articles to WeChat official accounts with customized themes.
Establishes an open, standardized protocol for framework-agnostic agent communication.
Automate the generation, deployment, and hosting of full-stack web applications, mini-programs, databases, and backend services using AI IDEs.
Analyzes software composition for vulnerabilities and malicious packages using policy-as-code.
Provides an intuitive, tool-integrated AI chat interface for seamless interaction with external services and custom workflows.
Provides a high-performance, resilient AI gateway for connecting to multiple large language model providers through a single, unified API.
Integrates Google Analytics APIs with a local Model Context Protocol (MCP) server to provide LLM-consumable tools for analytics data.
Streamlines the creation of MCP server applications using a simple Python framework.
Provides a comprehensive context engineering infrastructure with unified Model Context Protocol (MCP) tools and secure integrations for AI agents.
Bridges large language models and AI agents with physical robots, translating natural language commands into ROS/ROS2 instructions without code changes.
Connects AI agents to databases, providing team's proven query patterns for collaborative learning and faster development.
Provides a security-oriented runtime for executing WebAssembly Components through the MCP protocol, enhancing AI agent capabilities.
Provides reference OpenAPI Tool Server implementations for integrating external tooling and data sources into LLM agents and workflows.
Captures screenshots on macOS without user interaction, enabling AI assistants to visually analyze UI bugs, designs, and data.
Converts ComfyUI workflows into MCP tools to enable multimodal AI-generated content solutions powered by LLMs.
Enables local, private, and secured AI experimentation directly on your personal computer.
Provides AI coding tools and agents with access to documentation for APIs, services, and libraries.
Builds a project-specific knowledge graph to supercharge AI assistants with context-aware Retrieval Augmented Generation (RAG) capabilities.
Provides a self-hosted registry and unified gateway for managing Model Context Protocol (MCP) servers and their tools for AI agents.
Empowers AI assistants to act as a personal chef, recommending recipes and planning meals based on a comprehensive cooking guide.
Provides a Python SDK for interacting with the AT Protocol (Bluesky).
Provides a multilingual, database-driven, open-source FAQ web application supporting PHP 8.3+ and various databases.
Facilitates searching and downloading documents from Anna's Archive as an MCP server or command-line interface tool.
Provides real-time bus information for Galway, Ireland, built with Kotlin Multiplatform for Android, iOS, and macOS.
Automates QA testing of websites using Browser-Use agents to identify UI bugs, broken links, and accessibility issues.
Showcases Kotlin Multiplatform development through a Fantasy Premier League application.
Securely executes code generated by Large Language Models in an isolated and portable environment.
Enables the creation of collaborative AI agents using a visual builder or TypeScript SDK for solving complex problems.
Facilitates access to various Turkish legal databases, providing a standardized Model Context Protocol (MCP) interface.
Leverages AI to provide advanced code search and discovery across GitHub and NPM, understanding connections between repositories and packages.
Analyzes software composition to extract inventory data, detect vulnerabilities, and generate SBOMs.
Manage personal finances with a self-hosted, multi-currency tracker emphasizing a no-budget, straightforward approach.
Provides a lightweight, zero-overhead implementation of the Model Context Protocol (MCP) server directly in Bash.
Enables AI assistants to safely query any PostgreSQL database using natural language, returning structured SQL results.
Provides visual context to agentic coding tools by allowing users to select browser DOM elements and feeding their data to AI.
Facilitates rapid mastery of microservice and distributed project architecture design and development processes.
Facilitates advanced reverse engineering tasks by acting as a model-agnostic AI assistant within environments like Ghidra, leveraging a tool-driven approach.
Provides a powerful multi-exchange, multi-account platform for cryptocurrency market data analysis, cross-platform trading, and automated strategy execution.
Enables web search across multiple engines without requiring API keys, supporting Bing, Baidu, DuckDuckGo, Brave, Exa, and CSDN.
Extracts watermark-free video links, video captions, and audio transcriptions from Douyin (TikTok) share links.
Provides seamless access to Apple Developer Documentation directly within AI coding assistants, featuring smart search and wildcard support.