Launching today
Zephyrus
Local-first AI harness: A robust orchestration workspace
1 follower
Local-first AI harness: A robust orchestration workspace
1 follower
Local-first AI workspace: chat with any OpenAI-compatible model, plus memory, personal-document RAG, deep research, email, calendar, tasks, notes, gallery, voice, and local model serving. all self-...
Launch Team
AWS Startup AdvisorPersonalized AWS guidance that meets you where you’re already building
Promoted
I built this project to provide developers and organizations with a secure, self-hosted AI infrastructure, reducing security risks and eliminating dependence on third-party AI providers. It brings together tool-calling agent loops, persistent memory, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP) integrations, and local model serving within a unified FastAPI backend. The goal is to give developers full control over their AI workflows, data, and infrastructure while maintaining flexibility, privacy, and scalability.