Unified import
Manage every AI archive in one place.
Bring conversations from every major AI platform into one vault, import incrementally, and mark useless threads so the next batch import skips them automatically.
SpirahDownload FreeCompound from your
AI conversation
A local vault that imports your AI conversations, learns from your highlights, and recalls exactly what you need.
How do I think about NVIDIA's business model?
vThinkingCompleted
Compared the strongest evidence and wrote the answer.
Completed steps
OKIdentified this as a direct search about NVDA / Nvidia.
OKBuilt search keywords and ranked the strongest candidate threads.
OKRead the most relevant messages across 3 conversations for comparison.
OKSelected the cited passages used in the final answer.
Reasoning summary
Your prior notes on NVDA are not classic narrative analysis. They lean on a risk-aware valuation model built around demand growth, capture rate, and margin durability.
You consistently frame NVIDIA through a quantified upside versus risk lens, rather than a loose story about AI demand. The core question is whether training demand can compound fast enough to justify today's valuation multiples [1].
NVIDIA leads the market for AI GPUs and data-center infrastructure. Continued demand from cloud providers and AI workloads remains a core growth driver.
You also treat platform strength as a systems advantage. In your notes, NVIDIA keeps its edge when CUDA, software tooling, and buyer lock-in reinforce one another instead of acting like isolated product features [2].
The practical takeaway is that you look for evidence clusters, not single quotes. Spirah surfaces the cited history first so the answer stays grounded in the archive you already built[3].
Ask your own conversation history, inspect the reasoning path, and keep the raw context close when you need to verify an answer.
Features
Built for long-term ownership of your AI conversations
Spirah is a local system for importing, weighting, retrieving, and continuously improving your conversation archive.
Local SQLite
Keep the data fully local and bring your own key.
Everything lives on your machine in SQLite. Add your own API key to unlock agent-level organization, retrieval, and recall without giving up control of the archive.
Adaptive memory
Teach the system what matters over time.
Mark original conversations and raw passages to permanently shift their weight, so the agent gets better at understanding your archive and retrieving the right context later.
Capture assistant
Save valuable moments with one shortcut.
Use the companion browser extension to press Ctrl+S the moment something valuable appears, save it instantly, and let it sync back to the desktop app in the background.
Downloads
Run Spirah locally on your machine
Start with the desktop app if you want the full local recall workflow. The Chrome extension stays optional and pairs with the same vault.
Recommended
macOS
Windows
Public Beta
Simple pricing while the product matures
Spirah is currently 100% free during beta. Bring your own model key when you want retrieval-backed answers.
Beta Plan
For early users building a serious local archive
$0/month
Pricing may change after beta. Existing beta users will get notice before anything changes.
- Unlimited local vault during the beta
- BYOK-powered retrieval and recall
- Optional Chrome extension for capture
What still feels off?
Early product feedback still helps. Tell us where recall, import, or review breaks down in your workflow.
Early feedback form
Open to fill in: usage story -> confusion -> optional expectation/actual -> optional repro steps.