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Gander: an open full-duplex omni agent released with models, code and data

The Omni Interaction Agent technical report presents Gander, an end-to-end model unifying omni perception, realtime interaction and agentic capabilities: continuous streaming inputs across video, speech and text enable full-duplex interaction in everyday conversation and workflow-oriented agent scenarios, with user interruption, proactive intermediate feedback and follow-up questions. Two architectural designs: a Cerebellum-Brain split (Cerebellum handles realtime omni conversation; Brain handles complex reasoning and agentic tasks; they interact via tool calling and the agent orchestration runtime) and a streaming Thinker-Talker Cerebellum that flattens user inputs and model outputs into one ordered chunk-level token stream. Internal human evals: SOTA open-source spoken-dialogue naturalness with competitive omni-interaction performance, robust under background noise, multi-party interaction and backchannel communication. Released with models, code and data.

Imported from the existing research archive. Migration preserves the recorded judgment and is not a fresh verification.

What this means for you

Full-duplex voice agents are shipping as commercial APIs (GPT-Live 1 GA the same week); Gander is the open-weights counterpart plus the orchestration runtime — the first open release bundling realtime omni interaction with agentic tool use, and a reference architecture (fast/slow two-tier + unified token stream) for anyone building voice agents they can inspect.

FRONTIER WATCH

Public artifacts and validated results are different.

The recorded fact is the public work and its artifacts. Author-reported outcomes do not establish independent reproduction. Next checks include usable code, task conditions and third-party validation.

Evidence & related material

Background · Historical record, not rechecked

The Omni Interaction Agent technical report presents Gander, an end-to-end model unifying omni perception, realtime interaction and agentic capabilities: continuous streaming inputs across video, speech and text enable full-duplex interaction in everyday conversation and workflow-oriented agent scenarios, with user interruption, proactive intermediate feedback and follow-up questions. Two architectural designs: a Cerebellum-Brain split (Cerebellum handles realtime omni conversation; Brain handles complex reasoning and agentic tasks; they interact via tool calling and the agent orchestration runtime) and a streaming Thinker-Talker Cerebellum that flattens user inputs and model outputs into one ordered chunk-level token stream. Internal human evals: SOTA open-source spoken-dialogue naturalness with competitive omni-interaction performance, robust under background noise, multi-party interaction and backchannel communication. Released with models, code and data.

Technical details & scores
Arxiv 2609.08977 (Thu 10 Sep digest, announced 2026-09-11T00:00Z)
Architecture Cerebellum-Brain split (realtime omni conversation vs complex reasoning + agentic tasks; interact via tool calling + orchestration runtime); streaming Thinker-Talker Cerebellum; chunk-level ordered token stream
Capabilities full-duplex, user interruption, proactive intermediate feedback, follow-up questions; video+speech+text streaming
Evaluation internal human evals: SOTA open-source spoken-dialogue naturalness; competitive omni interaction; robust to noise / multi-party / backchannel
Release models + code + data released
Technical impact 4
Engineering value 4
Adoption signal 3
Maturity 2
Verification cost 3
Risk 2