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Provides a developer-friendly, embedded retrieval engine for multimodal AI, enabling efficient search and data management.
Unifies metadata for data discovery, observability, and governance through a central repository, in-depth column-level lineage, and seamless team collaboration.
Simplifies building AI agents using Model Context Protocol and composable workflow patterns.
Provides an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting of LLM applications.
Implements the Model Context Protocol (MCP) in Go, facilitating integration between LLM applications and external data sources and tools.
Provides a backend service for ESP32 devices, enabling rapid deployment of custom intelligent control servers.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Bring AWS best practices directly into development workflows with a suite of specialized Model Context Protocol (MCP) servers.
Transforms any GitHub project into a documentation hub accessible to AI tools, preventing hallucinations by providing accurate and up-to-date context.
Provides a programmatic interface to automate content publishing, feed retrieval, and search functionalities on Xiaohongshu.com.
Provides an AI-native API gateway for cloud-native applications, extending Envoy and Istio with Wasm plugins.
Enables AI-powered applications to monitor and interact with browser data via a Chrome extension and MCP.
Converts a codebase into a single, structured prompt suitable for large language models.
Enhances ChatGPT's capabilities by providing advanced custom instructions for both general conversational and specialized coding tasks.
Enables Large Language Models (LLMs) to autonomously reverse engineer applications by exposing Ghidra's core functionality through an Model Context Protocol (MCP) server.
Retrieves transcripts and subtitles from YouTube videos, including automatically generated ones, without requiring an API key or headless browser.
Create, customize, and engage in real-time conversations with AI characters across web, mobile, and terminal platforms.
Orchestrates automated workflows by connecting AI models with various tools and resources using MCP.
Collects, stores, distributes, and shares cybersecurity indicators and threats.
Automates web interactions for AI agents and applications without managing infrastructure.
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.
Provides a unified, cloud-native observability database for metrics, logs, and traces, supporting SQL, PromQL, and streaming analytics.
Build and deploy open-source Model Context Protocols (MCPs) on Slack, Discord, and the web.
Compares and patches JavaScript objects, generating compact deltas for efficient updates and reversions.
Enables integration between WhatsApp and Large Language Models via the Model Context Protocol (MCP).
Enables programmatic interaction between Cursor AI and Figma, allowing for design reading and modification.
Build AI-powered applications with this open-source framework for Node.js and Go.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript execution.
Enables AI applications to control a user's existing browser instance.
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