AskAtlasAI-Agent empowers developers to deploy AI agents that answer natural language queries against any document set stored in MongoDB Atlas. It orchestrates LLM calls for embedding, search, and response generation, handles conversational context, and offers configurable prompt chains. Built on JavaScript/TypeScript, it requires minimal setup: connect your Atlas cluster, supply OpenAI credentials, ingest or reference your documents, and start querying via a simple API. It also supports extension with custom ranking functions, memory backends, and multi-model orchestration.

Sec-ConvAgent is a specialized AI agent module focused on secure, privacy-preserving conversational interactions. Built on the Agentic-OS framework, it encrypts messages and context logs using robust cryptographic protocols, ensuring that sensitive user inputs remain protected during transmission and storage. It integrates with popular LLMs, automatically managing encryption and decryption without developer intervention. By leveraging secure key management, role-based access controls, and end-to-end encryption pipelines, Sec-ConvAgent enables organizations to deploy conversational agents for healthcare, finance, legal, and other regulated domains. Developers can configure secure channels, define encryption policies, and seamlessly integrate secure dialogue flows within their existing Agentic-OS agent orchestration. Sec-ConvAgent bridges the gap between powerful AI-driven conversational interfaces and stringent security requirements.