Offline Chat: Private AI is a unique application designed to ensure your document interactions are private and secure. It runs completely offline, ensuring that your data never leaves your device. You can load various documents and ask questions about the content, making it a great tool for personal and professional use. Whether you're reviewing sensitive contracts, personal journals, or confidential business reports, this app provides a secure environment for your interactions.

QuickWhisper is designed to significantly enhance transcription workflows by providing fast, secure, and accurate transcriptions for any audio or video content. Utilized on macOS, it employs powerful OpenAI's Whisper to process and store transcriptions locally, ensuring that your data remains private. The versatility of QuickWhisper makes it suitable for various use cases such as transcribing webinars, video conferences, in-person meetings, phone calls, business negotiations, job interviews, subtitles creation for videos, podcasts, audiobooks, and language learning. Users can enjoy a smooth transcription process with features like seamless export of transcripts, real-time speaker diarization, and the ability to handle multiple languages effectively, all while maintaining the integrity and confidentiality of their information.

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.

Secure Agent Augmentation provides a Python SDK and set of helper modules to wrap AI agent tool calls with security controls. It supports integration with popular LLM frameworks like LangChain and Semantic Kernel, and connects to secret vaults (e.g., HashiCorp Vault, AWS Secrets Manager). Encryption-at-rest and in-transit, role-based access control, and audit trails ensure that agents can augment their reasoning with internal knowledge bases and APIs without exposing sensitive data. Developers define secured tool endpoints, configure authentication policies, and initialize an augmented agent instance to run secure queries against private data sources.