Odysseus is a self-hosted AI workspace and autonomous agent framework designed for deploying and managing large language models. It serves as a centralized platform for orchestrating agentic tasks, utilizing a model context protocol server to connect AI models to external system utilities, browser automation, and local hardware.
The system distinguishes itself through a combination of retrieval-augmented generation and a RAG knowledge base, using vector stores and local embeddings to provide persistent semantic memory. It further integrates AI-driven communication management to triage email inboxes and synchronize schedules via CalDAV and CardDAV standards.
The project covers a broad range of capabilities including autonomous deep research, AI-enhanced document editing, and hardware-aware model deployment. It incorporates a multi-provider inference gateway to unify local serving engines with external API providers, secured by a bcrypt-TOTP authentication layer and role-based tool restrictions.
Installation options include containerized deployment via Docker, a portable Windows distribution, and standalone desktop launchers.
