Polaris

项目详情摘要

Autonomous, end-to-end AI research: from literature to a reviewed paper. Powered by a long-running agent core that plans, executes, and self-verifies its own work, turning every task into a resumable, auditable, human-gated run. English · 简体中文 Polaris runs the entire research lifecycle as a single web application: literature survey, idea generation, idea review, experiment building on real GPU servers, LaTeX paper writing, and paper review. It is built for a research lab, with multi-user access, RBAC, and invite-code registration, and it treats every long task as a **Voyage**: a persisted, resumable, human-gated agent run that can span hours or days without losing state. [!NOTE] Polaris is not a chatbot wrapper. The heavy lifting (crawling, parsing, deduplication, metric parsing, citation matching) is deterministic code. LLMs are reserved for the judgement calls: scoring, synthesis, drafting, and review. This split keeps runs cheap, reproducible, and auditable. Demo A 2-minute tour of the platform: the six-stage pipeline, the Voyage agent core, a real experiment run, and PolarisBuddy. https://github.com/user-attachments/assets/388972c1-7ffa-45f2-94c4-07f388379ba2 Try it live A guest account on a running instance, for looking around: sign in at with the username `guest` and the password `zjuguest123`. The account is for demonstration only: it is read-only and cannot call any model.** It reaches every screen, the admin views included, but nothing it does changes state — creating, editing, deleting and uploading are all refused, and no LLM call will run, whether from chat, compilation or the assistant. Lab members' details and the registration codes are hidden from it as well. It is there to show what the platform looks like, not to do work on it. The research pipeline Pol