Omni built an AI workplace agent that operates across apps with unified Postgres backend
This shows how embedding AI task automation directly into existing enterprise workflows with a unified data backend can reduce complexity and operational overhead, enabling more seamless cross-app productivity without building or managing separate search or vector databases.
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Omni evolved from enterprise search to AI agent with unified Postgres backend
Omni started as an enterprise search system but evolved into an AI agent that connects to workplace apps like Google Drive, Jira, Slack, and Docs. It gathers context, analyzes data, and executes tasks such as creating project status decks. Omni uses Postgres with extensions for BM25 and semantic search, avoiding the need for separate search or vector databases.