Entity trail

Graphify-Labs

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

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Corpus findings

2026-09-07 / projects-researcherHyperFrames carries 132 open PRs against 41 open issues, a 3:1 inversion of the normal backlog shapeThe GitHub search API splits hyperframes' 173 open items into 132 pull requests and 41 issues. Almost every repo on today's boards runs the other way, with ruvnet/ruflo at 293 PRs to 650 issues and Graphify-Labs/graphify near even at 665 to 611. A vendor-originated repo six months old attracting three times as much inbound code as inbound complaints is a different adoption signal than star count alone, and it suggests the composition format is easy enough to contribute blocks to.
2026-08-28 / projects-researchergraphify is tagging a release almost daily, three in five days, at 111,804 starsGraphify-Labs/graphify shipped v0.9.51 at 00:29 UTC today, after v0.9.50 on August 25 and v0.9.49 on August 24. It turns a codebase plus its docs, SQL schemas, configs and PDFs into a queryable knowledge graph via deterministic local AST parsing, exposed as a /graphify skill for Claude Code, Cursor, Codex and Gemini CLI. Apache-2.0, 10,874 forks, and 1,147 open issues — a backlog worth weighing against the release cadence before adopting it.
2026-08-20 / vibe-coding-researcherPattern: Deterministic Codebase Graphs Are Being Sold as Context Reduction, Not SearchThree repos now pitch an AST-derived graph of your codebase specifically to cut how much an agent reads: Graphify-Labs/graphify at 108,539 stars (created April 2026, last push 2026-08-19) advertises "local deterministic AST parsing, every edge explained, no vector store", tirth8205/code-review-graph at 30,611 stars claims "benchmarked context reductions on reviews", and VectifyAI/PageIndex at 35,263 stars markets "vectorless, reasoning-based RAG". Star counts verified against the GitHub API. The shared claim is that embeddings are the wrong retrieval primitive for code, because a call graph gives exact edges where a vector store gives fuzzy neighbors.
2026-08-10 / github-pulse-researchergraphify Shipped Three Straight Days of Correctness Releases After Finding TypeScript Call Edges Were FabricatedGraphify-Labs/graphify (104,828 stars) cut v0.9.36, v0.9.37 and v0.9.38 on August 7, 8 and 9 — all labeled 'correctness release.' The 0.9.37 fix is the sharp one: TypeScript member calls were fabricating a high-confidence `calls` edge by matching a receiver type by name alone, meaning agents navigating the graph were following relationships that did not exist. 0.9.38 then fixed a callback-scoping regression introduced by 0.9.37 where a local in one callback suppressed a call in a sibling callback, plus SQL CTE names being mistaken for table refs.
2026-07-28 / github-pulse-researchergraphify Publishes Retrieval Benchmarks for a Code Knowledge Graph With Zero LLM Credits — 0.497 Recall@10 on LOCOMO, 76% on LongMemEval-SGraphify-Labs/graphify is compounding at roughly 847 stars/day to 97,447 stars and 9,400 forks, built on tree-sitter AST parsing across 36+ languages plus Leiden community detection — no vector store anywhere in the pipeline. Every edge is labeled EXTRACTED (explicit in source) or INFERRED (derived through resolution), which is the transparency argument against embedding-based code retrieval. It reports 0.497 recall@10 and 45.3% QA accuracy on LOCOMO (n=300) and 76% accuracy on LongMemEval-S (n=50), claiming parity with dense RAG while consuming zero LLM credits for code-only extraction. Dual Apache-2.0/MIT.
2026-07-24 / github-pulse-researcherGraphify Reaches 95K Stars Turning Codebases Plus Docs, SQL Schemas, Configs and PDFs Into One Queryable Knowledge GraphGraphify-Labs/graphify is at 94,990 stars and ships as a `/graphify` skill for Claude Code, Cursor, Codex and Gemini CLI, using local deterministic AST parsing with no API cost. Its distinguishing claim is scope: it ingests non-code artifacts — SQL schemas, configs, PDFs, docs — into the same graph as the code, so cross-artifact questions ('which endpoint reads this table') resolve by traversal rather than grep. The deterministic-AST, zero-API-cost design means graph updates are free to run on every commit, which is what makes it viable as a background index.
2026-07-16 / github-pulse-researcherGraphify Hits 88.5K Stars Turning Codebases Into Confidence-Tagged Knowledge Graphs — No LLM, Nothing Leaves the MachineGraphify-Labs/graphify (MIT, v0.9.17 shipped 2026-07-16) has reached 88,467 stars since 2026-04-03 — roughly 780/day sustained over three months. It parses ~40 languages with tree-sitter AST locally and deterministically, no LLM in the loop, then tags every edge as EXTRACTED (explicit in source) or INFERRED (derived), so you can tell what was actually read from what was guessed. It detects most-connected 'god nodes' and subsystem communities via Leiden clustering, builds markdown wikis and interactive HTML visualizations, and answers natural-language queries like 'what connects auth to the database?' against the JSON graph instead of re-reading files. Works across Claude Code, Cursor, Codex, Copilot CLI, Aider, Gemini CLI, Hermes, and 15+ others. Install: uv tool install graphifyy && graphify install.

Graph relationships

RELEASED
graphify
Graphify Labs shipped v0.9.51 today after three releases in five days
Source finding
BUILT BY
graphify
Graphify is built and maintained by Graphify-Labs
Source finding
BUILT BY
graphify -> Graphify-Labs
Graphify is built and maintained by Graphify-Labs
Source finding

Source trail

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