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Build AI applications that can learn and answer questions over large-scale federated data sources using a federated query engine.
Conducts in-depth web and local research on any topic, generating comprehensive reports with citations.
Builds and queries temporally-aware knowledge graphs tailored for AI agents operating in dynamic environments.
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 an open-source curriculum designed to teach the concepts and fundamentals of the Model Context Protocol (MCP) through practical code examples.
Streamlines the integration of GenAI tools with databases by handling complexities like connection pooling and authentication.
Orchestrates intelligent multi-agent swarms and autonomous workflows to build advanced AI systems.
Provides a developer-friendly, embedded retrieval engine for multimodal AI, enabling efficient search and data management.
Provides a reliable memory layer for AI applications and AI agents, enhancing response accuracy and reducing hallucinations.
Implements the Model Context Protocol (MCP) in Go, facilitating integration between LLM applications and external data sources and tools.
Provides an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting of LLM applications.
Provides a backend service for ESP32 devices, enabling rapid deployment of custom intelligent control servers.
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.
Defines a specification and schema for the Model Context Protocol.
Create and host AI companions with personalized personalities and conversational memory, accessible via browser or SMS.
Compares and patches JavaScript objects, generating compact deltas for efficient updates and reversions.
Extracts text and metadata from web pages and online resources, offering various output formats.
Build AI-powered applications with this open-source framework for Node.js and Go.
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