Max3k downloadsWhere research thinking takes shape: explore before you search, think with theoretical lenses, challenge your framing and keep track. Free via OpenAlex & Semantic Scholar; bring any LLM or none.
Sharpen your thinking before you search, weigh the evidence you find, and keep a trail of why you concluded what you concluded — in your own notes, in your own words.
You know the feeling: forty papers read, a conclusion reached — and six months later you can't reconstruct why you dismissed the alternative. Or worse: an AI summarised it all so smoothly that you're no longer sure the thinking was ever yours.
Parallax is a research workbench for Obsidian built to guard exactly that. It structures the thinking that happens before and around the searching — your assumptions, your framing, the evidence and what it cannot answer, the beliefs you updated along the way — and records every step as artefacts in your own notes. An LLM proposes; you decide, and you hold the pen. Nothing is ever written over your own thinking without asking.
(Why "Parallax"? Astronomers measure the distance of a star by looking at it from two points and watching it shift — depth comes from changing your viewpoint. Research works the same way.)

That's the whole entry fee. Everything beyond it is opt-in: bring any OpenAI-compatible LLM (including a fully local Ollama), or none at all.
A session is a plain markdown note that you work step by step. A set of research assistants helps — each one propose-only, so you tick what to adopt and can always edit anything:
[n] citations. Free open-access full texts are fetched for the reading-recommendation sources when you deepen a finding.The Parallax sidebar is your cockpit, and it starts where your thinking starts. At the top sits the entry block — step 0, naming the problem: your objective and your question, with a single primary button for whatever note you have open (Start research project, Start question in this note, New question in this project, or Edit question once it is a session). Below it the blocks follow the flow of the work: the workflow strip with where you are, Steps with one card per phase (including the framing you set yourself, without AI), your artefacts as an outline in the colour of the phase that wrote them, sources and findings, the project with its evidence gaps, a Wrap up block for the methodological account and the exports, and the logbook. Sessions group into projects; everything exports as a portable, reproducible bundle (JSON + methodological account + BibTeX).

The map below shows the whole plugin on one sheet: step 0 (naming the problem), the six phases with their commands and where each result lands, and the Wrap up block that turns a session into a deliverable. The workflow strip is the thinking order and the session note is the reading order — that is why Challenge sits before Evidence in the strip but after the synthesis in your note.

Research thinking, not research answers:
Parallax is the layer those tools don't cover: the reasoning between question and conclusion.
| Destination | What | When |
|---|---|---|
| api.openalex.org | search queries (+ optional contact e-mail) | every search |
| api.semanticscholar.org (US) | search queries | multi-source research |
| Your LLM endpoint — api.mistral.ai (EU) or any OpenAI-compatible URL, incl. local Ollama | question, sub-questions, abstracts, framing, beliefs + synthesis text | AI steps only (opt-in) |
| doi.org | DOIs | verification on insert |
| Publisher/OA hosts | open-access page fetch for reading-list sources | only when deepening |
| api.consensus.app | search queries | only with the optional Consensus provider |
Keys live in Obsidian's secret storage on each device (never in your vault, so they don't sync) and are never echoed in error messages. With a local Ollama endpoint, all LLM traffic stays on your machine. No telemetry, no account, no cloud backend of ours.
Community plugins → search for Parallax → Install → Enable.
Manual: copy main.js, manifest.json, styles.css from the latest
release into .obsidian/plugins/consensus-research/.
Works on desktop and mobile (Obsidian 1.13.0+).
Voxtral Transcribe — from the same workshop. Research thinking rarely starts at a keyboard: speak your messy problem statement on a walk, let Voxtral turn it into a markdown note, then select the transcript and run Explore · problem — Parallax picks up the thinking exactly where the recording stops. The two plugins share the same principles (your keys, local where possible, no telemetry) but stay deliberately separate tools: Voxtral owns capturing speech, Parallax owns the reasoning.
Quadro — qualitative data analysis (coding and extraction; an open alternative to MAXQDA/atlas.ti) in plain markdown. Parallax ends roughly where Quadro begins: design a qualitative study in Parallax, then code your interviews in Quadro — same plain-text philosophy, each tool owning its own phase. The hand-off is built in (0.10.0, conventions confirmed by Quadro's maintainer): export your adopted lenses as a starting codebook, or a full starter kit (data intake, codebook, one extraction template per research question) — and the methodological account reads Quadro's own process registrations back in. Background: the interop discussion.
Parallax is free and GPL-3.0. If it sharpens your research, you can buy me a coffee ☕ — it keeps the work going.
Issues and ideas: GitHub issues. Development happens in the codebase-lanayru repo; this repo carries releases.
GPL-3.0 — © 2026 Max Kloosterman