On the evening of November 2, SenseTime released the official version of SenseNova 6.8 Flash, a multimodal agent model with two main upgrades. First, long-term memory and proactive interaction: it keeps user goals and constraints across tasks and sessions and flags affected items when information changes. Second, design generation across Web, SVG, Three.js, Blender, animated PPT and motion posters, with Figma integration. It is live in SenseNova Studio, the Raccoon assistant and the SenseNova Token Plan; the official X account says the Token Plan offers a free trial of 1,500 API requests every 5 hours. SenseTime says it beats some international frontier models on agent collaboration, data analysis and presentation generation, but the announcement lists no specific scores.
Key Takeaways
- ✓The official release landed on the evening of November 2, positioned as a multimodal agent model for office collaboration and design delivery
- ✓Long-term memory plus proactive interaction: it remembers goals, constraints and preferences across sessions and suggests changes when related information shifts (demos ran on an internal Raccoon build)
- ✓Design output spans Web, SVG, Three.js, Blender, animated PPT and motion posters, producing editable PPTX files and Blender projects, with Figma integration
- ✓Available in SenseNova Studio, the Raccoon assistant and the SenseNova Token Plan; the official X post cites 1,500 free API requests every 5 hours
- ✓SenseTime only says it beats some international frontier models on agent collaboration, data analysis and presentation generation; no scores were published and there is no independent evaluation yet

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Background and industry pain points
Office AI tends to be one-shot: every chat starts from zero, it forgets why a client said no last month, and handover knowledge is lost. Generated slides and posters are mostly static and must be reworked in pro tools. SenseTime released the official SenseNova 6.8 Flash on the evening of November 2 with the stated goal of pushing a task forward and delivering usable results, days after open-sourcing SenseNova Loop-9B-Preview.
Architecture highlights and mechanisms
The announcement gives no parameter count or context length; it focuses on two capabilities. Long-term memory and proactive interaction let the model keep user goals and constraints across tasks and sessions and flag affected items when information changes, such as linking a new product feature to a client's earlier reason for declining. Design generation plans each slide's message and pacing before animating, coordinates poster visuals, text hierarchy and timing, and drives Blender through a multi-round generate, render, feedback and revise agent loop that ends in an editable project.
Benchmarks and measured comparisons
SenseTime says its evaluations covered fact recall, instruction following, conflict resolution and preference memory over long interactions, and claims the model beats some international frontier models on agent collaboration, data analysis and presentation generation. The announcement publishes no scores or comparison tables, so treat this as a vendor claim. The proactive-interaction demos ran on an internal Raccoon development build, not a public release.
Developer adoption and getting started
The model is on the SenseNova Token Plan (docs at platform.sensenova.cn/docs); the official X post cites 1,500 free API requests every 5 hours and the model ID SenseNova 6.8 Flash. Design features are available in the Design lab of SenseNova Studio, and SenseTime publishes SenseNova-Skills on GitHub. Test it on your own slide or web tasks before wiring it into production.
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