pathwaycom/llm-app
Ready-to-run cloud templates for building real-time RAG, AI pipelines, and enterprise search applications that synchronize with various live data sources.
Awesome Infra for AI › Vector Databases & Retrieval Infrastructure
christopherkarani/Wax
Wax is a Swift-native memory engine specifically designed for AI agents, enabling them to store and retrieve contextual information directly on Apple devices. It functions as a single `.wax` file that contains documents, embeddings, and structured knowledge, eliminating the need for servers, API keys, or Docker. This design prioritizes privacy, portability, and performance, especially on Apple Silicon due to Metal optimization. The project facilitates the creation of persistent chatbots, coding agents with long-term memory, and personal knowledge bases by providing on-device Retrieval Augmented Generation (RAG) capabilities. Developers can integrate Wax into iOS/macOS apps via Swift Package Manager or utilize its CLI for scripting. Additionally, it supports integration with AI assistants like Claude through an MCP server and a dedicated skill to allow agents to leverage its persistent memory across sessions. Wax aims to provide a robust, local memory layer for AI applications, ensuring fast recall and data sovereignty without cloud dependencies.
https://github.com/christopherkarani/Wax
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