`/graphify` turned from code memory into a general-purpose knowledge graph layer

Usage escaped code almost immediately: people query SQL schemas, notes, papers, meetings, and even whiteboard photos through one graph. The real product looks less like repo memory and more like a cross-format retrieval layer worth testing now.

[ KEY POINTS ]

/graphify ingests an entire repo, builds a graph with Leiden community detection, and cuts query tokens by 71x versus raw file reads.
Adoption spiked fast: 450k+ PyPI downloads in 26 days, about 40k GitHub stars, and a brief #2 global GitHub rank.
Behavior shifted from code assistance to broad knowledge retrieval; users feed in schemas, Obsidian vaults, paper corpora, transcripts, and photos.
The center of gravity moved to the /graphify query "..." flow, suggesting search and memory beat one-time code indexing as the sticky feature.

Originalwww.reddit.com/r/ClaudeAI/comments/1t18eeh/i_built_graphify_26_days_450k_downloads_40k_stars/Read original →

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`/graphify` turned from code memory into a general-purpose knowledge graph layer

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`Antigravity 2.0` Install/Update Bug Workaround: Roll Back to `1.23.2`

`Antigravity` agent sessions hit template mismatch blocker

`Antigravity` paid user reports forced update broke workspace