# Yunshuxiaoyuan

The product takes the large model as the cognitive core and the self-developed active agent engine as the core. As long as students express their intentions naturally, the agent can independently complete multi-step task planning, cross-system tool arrangement and execution. From "Check my grades for this semester" to "Remind me to hand in my homework tomorrow afternoon", one sentence can be completed without repeated switching between independent systems such as academic affairs, academic staff, and libraries. The product has a complete active intelligent link of "active perception — active decision — active touch": the system understands the students' habits and needs through behavior acquisition and image analysis. The large model decides whether and when to remind, and then pushes the service to the students, realizing the transition from "people looking for functions" to "function looking for people". At the same time, the product has built-in cross-session AI memory and MCP standard tool ecology, which is more and more understandable to users, and can flexibly dock with various campus systems. The project is dedicated to enabling every college student to have a campus smart assistant who understands him from the first day of admission.

The product takes the large model as the cognitive core and the self-developed active agent engine as the core. As long as students express their intentions naturally, the agent can independently complete multi-step task planning, cross-system tool arrangement and execution. From "Check my grades for this semester" to "Remind me to hand in my homework tomorrow afternoon", one sentence can be completed without repeated switching between independent systems such as academic affairs, academic staff, and libraries. The product has a complete active intelligent link of "active perception — active decision — active touch": the system understands the students' habits and needs through behavior acquisition and image analysis. The large model decides whether and when to remind, and then pushes the service to the students, realizing the transition from "people looking for functions" to "function looking for people". At the same time, the product has built-in cross-session AI memory and MCP standard tool ecology, which is more and more understandable to users, and can flexibly dock with various campus systems. The project is dedicated to enabling every college student to have a campus smart assistant who understands him from the first day of admission.

Canonical: https://uniquebase.ai/products/UB-D7043
Stable identifier: UB-D7043
Snapshot captured: 2026-10-28T00:47:51.550Z
English updated: 2026-10-28T00:56:06.610Z

## Connected profiles

- [Yunshuxiaoyuan](/companies/UB-C13317)

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