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TaglineAI search done right. Cited answers, not chat theater.Meta FAIR's open-source Python library that finally bridges the gap between neuroimaging data (fMRI, EEG, spikes) and modern deep learning pipelines.Meeting notes, free forever for individuals.VS Code fork that made AI coding actually work.
CategoryResearchResearchMeetingsCoding
PricingFree + $20/mo ProFree (MIT open source)Free for individuals + $15-$29/user/mo teamsFree + $20/mo Pro + $40/mo Business
Best forReplacing Google for any question where you want a cited answer in seconds.Computational neuroscience researchers who want to train deep learning models on brain recordings without building custom data pipelines from scratch.Solo operators, freelancers, small teams on a budget.Developers. Non-developers who want to ship working code.
Strengths
  • Sources every claim
  • Fast, current answers
  • Pro Search runs multi-step research
  • Spaces for persistent context
  • Unified interface across fMRI, MEG, EEG, iEEG, fNIRS, EMG, and spike trains — no more siloed modality-specific tools
  • Lazy, memory-efficient loading that scales to terabyte-scale OpenNeuro datasets without RAM blowout
  • Native HuggingFace integration for embedding stimuli (text, audio, video) using models like DINOv2, CLIP, Wav2Vec, and more
  • Pydantic-based config validation catches bad BIDS paths or filter settings at init, not after hours of wasted compute
  • Scales from local laptop prototyping to SLURM clusters without rewriting infrastructure code
  • Unlimited free tier for solo use
  • Strong summaries + action items
  • Works in Zoom, Meet, Teams
  • Tab completion feels like mind-reading
  • Composer for multi-file edits
  • Runs Claude, GPT, Gemini — you pick
Weaknesses
  • Not a general chatbot
  • Answers can be shallow on complex topics
  • Extremely niche audience — only useful to neuro-AI researchers with Python/PyTorch chops and access to neuroimaging datasets
  • No GUI or managed cloud environment; requires local setup and familiarity with BIDS data formats
  • Still a preprint-stage release with no arXiv paper yet — API stability and long-term maintenance are unproven
  • Bot-joining model
  • Team features gated
  • Can feel overwhelming for non-coders
  • Expensive at scale
Kai's verdictS-tier for search. I use it before Google now. If you're still Googling everything, try this for a week.If you're doing neuro-AI research, this is the plumbing you've been manually building for years — finally done right by the team that actually runs these experiments at scale. Extremely narrow use case, but within that lane it looks genuinely best-in-class. (Verdict pending Phi's full review.)S-tier for solo + free. The best free option, hands down.S-tier for coding. If you write code of any kind, this pays back the $20 in a day.
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