OpenSourceAI.tech
Open-source AI, measured daily: health, security, price
OpenSourceAI.tech launched on July 19, 2026 with 2 votes.
What it does
Most AI directories list; we measure. Every project gets a daily health score with a published methodology, security advisories deduplicated from OSV.dev, real model prices, and an emerging index that spots repos before they trend. No black-box scores: every number is traceable, every chart states its coverage. It plugs into the tools devs already use — MCP server for Claude Code/Cursor/VS Code, a GitHub Action on PRs, signed webhooks, n8n, an open API. Free tier, no card.
10,000 open-source AI projects, 350 models with live pricing and benchmarks, and DNA families showing which repos share code. Free, no account.
Open-source and commercial AI side by side — projects, models, alternatives, releases and pricing, measured. Rebuilt every day, new releases within the hour. 4,436 of the 10,491 projects in the olud.ai catalogue — 42.3% — have not seen a push in six months, and 3,562 have been silent for more than a year. Fame does not protect a repo: among the 1,150 projects with 10,000+ stars, 197 are quiet too. Across 270 models with a benchmark and a price, the best open model scores 59.7 against 63.1 — and costs 3.1× less per point of intelligence. A 24 GB card runs a 35B model ; an 8 GB card runs Qwen3 8B in an estimated 6.4 GB. The VRAM table for the models people…from olud.ai
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