Max235 downloadsWhere research thinking takes shape: explore before you search, develop a question through multiple theoretical lenses, weigh OpenAlex & Semantic Scholar evidence, and keep a methodological account.
Think sharper 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: where you are, a recommended next step (never a straitjacket), your artefacts, the evidence gaps in your project, and source↔finding provenance. Sessions group into projects; everything exports as a portable, reproducible bundle (JSON + methodological account + BibTeX).

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 are stored locally in your vault config and 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 1.5.0+).
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 the 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