What it does

This is a community-curated directory of AI resources — models, coding tools, agent frameworks, vector databases, courses, jobs, and even city-specific meetups. Think of it as a living index maintained since 2017 by one person with a lot of patience and a quarterly update schedule.

The interesting bit

The “Editor’s Picks 2026” section is where the maintainer’s judgment shows. Instead of dumping every GitHub repo with “AI” in the name, there are opinionated, categorized selections — frontier models, open-weights champions, RAG starters, observability tools — each with a one-line verdict like “best reasoning” or “prototypes only.” There’s even a legend for Chinese-focused and Australia-focused resources, which is more geographic awareness than most lists bother with.

Key highlights

• Covers the full stack: foundation models, inference hosting, agent frameworks, MCP servers, fine-tuning, plus non-technical resources (books, newsletters, conferences, jobs)
• Includes country-specific AI scenes (USA, China, Australia, Malaysia, Singapore) and city-level communities
• CC0 license — zero friction for reuse
• Maintained by a single person since 2017, with contribution guidelines and discussion forums open
• Star and date badges suggest active maintenance, though the README itself doesn’t show last-updated timestamps for individual entries

Caveats

• Some entries reference future or speculative versions (“GPT-5.5”, “Claude Opus 4.7”) that may not exist yet or are presented without clear sourcing
• The “2026” picks are forward-dated, which is either optimistic branding or a time-travel situation — the README doesn’t clarify the versioning logic
• No automated freshness checks visible; stale links are a perennial risk for hand-curated lists this broad

Verdict

Worth bookmarking if you’re new to AI tooling or need a periodic sanity check on what’s current. Skip it if you already have your own curated feed and trust it more than a single maintainer’s quarterly opinions.