Opera Neon introduces ODRA, a browser-native deep research AI using multi-agent systems for automated information synthesis and PDF export with citation management.

ODRA, Opera Neon's deep research AI, uses multi-agent systems and RACE framework for automated research within the browser.
ODRA operates natively in Opera Neon, eliminating external tools. It leverages multiple language models for accurate, real-time information synthesis, streamlining academic and professional workflows. Integration with web browser functions enables access to various research tools without tab switching.
ODRA exports research as PDF with citation management, facilitating sharing. It integrates with productivity tools for efficient document preparation.
ODRA advances browser-native AI research with multi-model integration and export features, ideal for users of AI agents and assistants seeking automated tools.
ODRA (Opera Deep Research Agent) is a browser-native AI system in Opera Neon that uses multiple language models and the RACE framework to automate and enhance research processes directly within the browser.
Yes, ODRA allows exporting complete research sessions as formatted PDF documents with proper citation management, making it easy to share findings and incorporate them into reports or presentations.
ODRA cross-references multiple language models and uses the RACE framework for reliable information synthesis and evaluation, enhancing accuracy in research outputs.
ODRA is available as part of the Opera Neon browser, but users should check Opera's official website for specific pricing or availability details.
Yes, ODRA can handle multiple research sessions and topics within the browser, organizing findings logically for each session to support diverse research needs.