Anara: A Research Workspace Where Your Sources and Your Writing Live Together
Research work usually splits across three windows: the PDF you are reading, the notes you are taking, and the draft you are writing, with the connections between them living in your short-term memory. Anara, which many researchers first met under its old name Unriddle, collapses those windows into one workspace: upload your sources, question them, and write with the citations attached as you go.
The short version
Anara is an AI research assistant built around your own document library. Upload papers, PDFs, notes and files, ask questions and get answers grounded in those documents with references you can check, then draft in the built-in editor where the AI helps you write from the sources rather than from thin air. It understands more than text, figures and tables included, and a free plan lets you run a real project through it before paying.
Reading with a memory
The core loop starts with your library: drop in the PDFs for a project and each becomes something you can interrogate, summarize this method, what did they find, where do these two papers disagree. Answers come with linked references into the documents, so verification is a click, not a search. Because the workspace holds the whole library, questions can span sources, which is where literature work actually happens, in the connections between papers rather than inside any single one.
Writing without the window juggling
The editor is the half most tools skip. You draft in the same workspace, and the assistant helps with the parts of academic writing that burn evenings: summarizing a source into a paragraph, rephrasing for clarity, keeping the citation trail attached to the claims. Because generation is grounded in your uploaded sources, the output points back to real documents you provided, addressing the classic fear of AI writing tools inventing references from nowhere.
Who it fits
Students and academics mid-thesis or mid-paper are the center of the audience, anyone whose project is a folder of PDFs plus a growing draft. It serves the same need for analysts, consultants and writers who work from source-heavy material, the pattern is identical even when the sources are reports instead of journal articles.
Before you commit
The standing rules of AI research tools apply: verify before you cite, the linked references make that fast, but the click is still yours to make. The free plan has usage limits that a heavy dissertation month will exceed, that is what the paid tier is for. And your institution's AI policy is worth a glance if the work is graded.
Where it shines
- Answers grounded in your own documents
- References link straight to the source text
- Reading and writing in one workspace
- Handles figures and tables, not just text
- Free plan for a real trial run
Worth knowing
- Citations still deserve a human check
- Free limits pinch during heavy months
- Best with a well-organized source library
Common questions
How is this different from chatting with one PDF?
Scale and connection: Anara works across your whole project library at once, and pairs the reading side with a grounded writing editor, single-PDF chat tools stop at the first half.
Does it invent citations?
It writes from the documents you upload and links its references to them, that grounding is the design point, and the links make your verification pass quick.
Is it just for academics?
No, any source-heavy writing fits, market analyses, legal research, long-form journalism, the workflow is the same wherever claims need receipts.
Bottom line
If your research life is a pile of PDFs and a draft that cites them, Anara removes the friction between the two. Load one active project into the free plan and work a normal session, the window count on your taskbar tells you the verdict.