Workspace Understanding
@ references notes, sources, datasets, and files to focus agents contextually on what matters.
Upload, Edit, and Organize Files
Upload files to create digital twins. Agents work on local copies with audit trails—originals stay safe.
Context Engine
Built-in guardrails and auto-checks keep agents grounded and evidence-driven with every decision.
Agent Orchestration
Coordinates task-specific agents for you—routing, delegation, and surfacing the right model and tools.
Multi-Hop Reasoning
Agents chain steps across multiple sources for complex tasks that need more than a single lookup.
Trusted Assistance
Focus on what only you can do. Delegate time-heavy tasks to agents that verify and cite information.
Atomic Evidence
Each note can contain atomic units, each with a unique highlight. Agents use these atomic highlights to form evidence-rich answers.
Automatic Bibliography
Sources are saved and traced automatically, building a ready-to-use bibliography with standard format options (APA, MLA, Chicago).
Traceable Generation
Ubik Agents generate cited output from your notes and documents with exact attribution so every claim links back to its source.
Agent + Human Annotation
Agents handle bulk annotation; you add judgment where it matters. A mix of both.
Click-Through Citations
Every claim links to a specific quote. Click any citation to jump straight to the source.
Search by Meaning
Find documents and passages by concept, not just keywords. Plain language works.
Deep Research
Run comprehensive multi-source searches across academic databases, the web, and your personal knowledge base.
Source Scoring
AI evaluates and ranks sources by relevance, credibility, and citation impact to surface the best results.
Academic Databases
Search Google Scholar, Semantic Scholar, arXiv, PubMed, and more from a single unified interface.
Open-Access
Add open access published papers or available papers with your institution directly to the workspace.
Personal Knowledge Base
Search across your own notes, highlights, and documents alongside external sources.
Unified Research Environment
Academic databases, web search, full-text editing, and your knowledge base—in one place.
Training Control
Work on confidential projects or sensitive files with LLM-assistance and models that do not train on your data.
Multi-Model Routing
Route to frontier models, experimental models, and local models. You decide what runs where and when.
Approval Flows
Review every AI suggestion before it's applied. Agents propose; you approve or reject.
Custom Layouts
Split panels and custom styling. Work across documents, browsers, databases, and chats—your way.
Desktop-Native
A real desktop app that lives in your filesystem—not a browser tab.
Local-First
Agents work from your files. Nothing leaves your machine unless you choose.