SIMA 2

Google's most capable AI agent for virtual 3D worlds

5.0•12 reviews•

524 followers

Google's most capable AI agent for virtual 3D worlds

5.0•12 reviews•

524 followers

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An Agent that Plays, Reasons, and Learns With You in Virtual 3D Worlds. Powered by Gemini, it goes beyond following basic instructions to think, understand, and take actions in interactive environments – meaning you can talk to it through text, voice, or even images.

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SIMA 2Google's most capable AI agent for virtual 3D worlds

Launched on November 14th, 2025

5.0

Based on 12 reviews

Review SIMA 2?

Reviewers see SIMA 2 as an embodied AI agent that moves beyond chat, with one detailed user review praising its ability to reason about goals, communicate naturally, and act inside complex 3D worlds through text, voice, and visual input. That reviewer sees clear promise for simulations, navigation, and collaboration tasks, especially in safety-focused settings. The main limitation in the feedback is not performance criticism but lack of detail: reviewers want more public demos, tooling, APIs, and clearer evidence of how memory and long-session adaptation work.

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Pros

large context window (2)

Pros

Cons

Reviews

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Most Informative

•8 reviews

What's great

I’m a final‑year engineering student working on AI and ML projects, so SIMA 2 immediately stands out as a more “embodied” agent compared to typical chat‑based tools. The idea of a Gemini‑powered agent that can reason about goals, communicate in natural language, and actually take actions inside complex 3D worlds feels like a big step towards agents that understand environments, not just text prompts. The multimodal interaction layer – combining text, voice, and visual understanding in the same workflow – also makes it feel much closer to how humans actually interact with games and simulations. I can see SIMA 2 being a strong testbed for safety‑critical simulations or for training agents on navigation and collaboration before bringing similar ideas into the real world. I’d love to see more public demos, tooling, or APIs so student developers can build small experiments on top of this, and I’m especially curious how SIMA 2 handles memory and adaptation over long sessions in dynamic worlds.

Ratings

Ease of use

Reliability

Value for money

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8 views12d ago

used SIMA 2 to build Storipress Prophet

•3 reviews

With a 1M token context window, we use Gemini to collate data across companies with huge article libraries to detect trends and power predictive sales analytics to power Claude Opus.

What's great

predictive analytics (1)large context window (2)trend detection (1)

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21 views2yr ago

used SIMA 2 to build QAClan

•3 reviews

Gemini 1.5 Pro offers long context, smart code gen, and seamless GCP integration—ideal for QA.

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18 views12mo ago