mini-agi
mini-agi is Continual learning model trained from scratch on 8GB VRAM laptop with batch-1 stream of data. - volotat/mini-AGI. It is ranked #5298 on the AI Radar, in RAG & memory, first seen 45 days ago and shared in 2 posts (60.7k views).
GitHub - volotat/mini-AGI: Continual learning model trained from scratch on 8GB VRAM laptop with batch-1 stream of data. · GitHub Skip to content Navigation Menu Sign in Appearance settings Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} Repository navigation mini-AGI Public Sponsor Notifications You must be signed in to change notification settings Fork 199 ( 199 ) Star 1.2k ( 1.2k ) You must…
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mini-agi in numbers
- Rank on the AI Radar: #5298 of 10402
- Shared in 2 posts by 2 accounts: @volatilemarkts
- 60.7k views on those posts
- First seen 45 days ago, last shared 34 days ago
- Pricing seen by AGK Intelligence: open source
- Market: RAG & memory
FAQ
What is mini-agi?
Continual learning model trained from scratch on 8GB VRAM laptop with batch-1 stream of data. - volotat/mini-AGI It was first shared on X 45 days ago and is ranked #5298 on the AI Radar.
Is mini-agi free?
It is open source.
Who shared mini-agi?
2 accounts on X, including @volatilemarkts, in 2 posts totalling 60.7k views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.6k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 15:10 UTC. Full method.