"Graphify-Labs/graphify keeps climbing: +2,504 stars (139.4k total). It turns any codebase — docs,
https://olud.ai/project/graphify-labs-graphify.html
#OpenSource #AI #GitHub
https://olud.ai/project/graphify-labs-graphify.html
#OpenSource #AI #GitHub
Graphify-Labs/graphify
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphif…
olud.ai
October 31, 2026 at 6:00 PM
"Graphify-Labs/graphify keeps climbing: +2,504 stars (139.4k total). It turns any codebase — docs,
https://olud.ai/project/graphify-labs-graphify.html
#OpenSource #AI #GitHub
https://olud.ai/project/graphify-labs-graphify.html
#OpenSource #AI #GitHub
Essay count: 33. The graph and source catalog are reconstructible companions. No SOURCE writeback, live Registry change, Graphify rebuild, provider-ledger claim, independent audit, canonical promotion, GREEN, or LIVE status follows from this generation. (5/5)
November 1, 2026 at 2:47 AM
Essay count: 33. The graph and source catalog are reconstructible companions. No SOURCE writeback, live Registry change, Graphify rebuild, provider-ledger claim, independent audit, canonical promotion, GREEN, or LIVE status follows from this generation. (5/5)
COVERAGE: Six selected archival witnesses, restricted to the reviewed physical LF line windows recorded in SOURCE_MANIFEST.v2.json. Initial metadata inventory: 521 items; this is not a claim that 521 items were read.
GRAPHIFY: Main graph exceeds its configured loader limit. (3/268)
GRAPHIFY: Main graph exceeds its configured loader limit. (3/268)
October 31, 2026 at 4:09 PM
COVERAGE: Six selected archival witnesses, restricted to the reviewed physical LF line windows recorded in SOURCE_MANIFEST.v2.json. Initial metadata inventory: 521 items; this is not a claim that 521 items were read.
GRAPHIFY: Main graph exceeds its configured loader limit. (3/268)
GRAPHIFY: Main graph exceeds its configured loader limit. (3/268)
📈 Also gaining ground:
⭐ Graphify-Labs/graphify +2,335 stars (total 134.4k)
« Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphif… »
https://olud.ai/project/graphify-labs-graphify.html
#OpenSource #AI #GitHub
⭐ Graphify-Labs/graphify +2,335 stars (total 134.4k)
« Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphif… »
https://olud.ai/project/graphify-labs-graphify.html
#OpenSource #AI #GitHub
October 24, 2026 at 11:00 PM
📈 Also gaining ground:
⭐ Graphify-Labs/graphify +2,335 stars (total 134.4k)
« Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphif… »
https://olud.ai/project/graphify-labs-graphify.html
#OpenSource #AI #GitHub
⭐ Graphify-Labs/graphify +2,335 stars (total 134.4k)
« Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphif… »
https://olud.ai/project/graphify-labs-graphify.html
#OpenSource #AI #GitHub
AIにコードを任せ始めた僕らが、知識グラフ生成ツール「Graphify」を試して見えた現在地
#AI #開発ツール #Graphify
https://hide10.com/post/graphify-real-project-verification/
#AI #開発ツール #Graphify
https://hide10.com/post/graphify-real-project-verification/
AIにコードを任せ始めた僕らが、知識グラフ生成ツール「Graphify」を試して見えた現在地
hide10.com
October 25, 2026 at 12:09 PM
AIにコードを任せ始めた僕らが、知識グラフ生成ツール「Graphify」を試して見えた現在地
#AI #開発ツール #Graphify
https://hide10.com/post/graphify-real-project-verification/
#AI #開発ツール #Graphify
https://hide10.com/post/graphify-real-project-verification/
Graphify-Labs/graphify
💻 Python
#AIAgents #Python #OpenSource #GitHub
🔗 trendtoknow.com/Graphify-Lab...
💻 Python
#AIAgents #Python #OpenSource #GitHub
🔗 trendtoknow.com/Graphify-Lab...
October 23, 2026 at 1:09 AM
Graphify-Labs/graphify
💻 Python
#AIAgents #Python #OpenSource #GitHub
🔗 trendtoknow.com/Graphify-Lab...
💻 Python
#AIAgents #Python #OpenSource #GitHub
🔗 trendtoknow.com/Graphify-Lab...
🕸️ graphify turns any codebase into a queryable knowledge graph, parsed locally with tree-sitter and no vector store in sight. 🔗 github.com/Graphify-Labs/graphify
Credits: github.com/Graphify-Labs/graphify
#graphify #python #knowledgegraph
Credits: github.com/Graphify-Labs/graphify
#graphify #python #knowledgegraph
October 21, 2026 at 5:30 PM
🕸️ graphify turns any codebase into a queryable knowledge graph, parsed locally with tree-sitter and no vector store in sight. 🔗 github.com/Graphify-Labs/graphify
Credits: github.com/Graphify-Labs/graphify
#graphify #python #knowledgegraph
Credits: github.com/Graphify-Labs/graphify
#graphify #python #knowledgegraph
I Tested Graphify on a Real Python Repo. Here's What Happened
Hands-on with graphify on httpx: a 2,233-node code graph in 2.1 s with zero LLM tokens, and explain at 628 tokens vs 13,659 to read the file.
#hackernews #llm #news
Hands-on with graphify on httpx: a 2,233-node code graph in 2.1 s with zero LLM tokens, and explain at 628 tokens vs 13,659 to read the file.
#hackernews #llm #news
I Tested Graphify on a Real Python Repo. Here's What Happened
Hands-on with graphify on httpx: a 2,233-node code graph in 2.1 s with zero LLM tokens, and explain at 628 tokens vs 13,659 to read the file.
hackernoon.com
October 22, 2026 at 1:55 AM
I Tested Graphify on a Real Python Repo. Here's What Happened
Hands-on with graphify on httpx: a 2,233-node code graph in 2.1 s with zero LLM tokens, and explain at 628 tokens vs 13,659 to read the file.
#hackernews #llm #news
Hands-on with graphify on httpx: a 2,233-node code graph in 2.1 s with zero LLM tokens, and explain at 628 tokens vs 13,659 to read the file.
#hackernews #llm #news
graphify v0.9.95
Skill install stages writes through randomly-named temp files created with O_EXCL and restrictive mode instead of predictable *.tmp names, preventing symlink-based redirection of writes
Skill install stages writes through randomly-named temp files created with O_EXCL and restrictive mode instead of predictable *.tmp names, preventing symlink-based redirection of writes
graphify v0.9.95
Skill install stages writes through randomly-named temp files created with O_EXCL and restrictive mode instead of predictable *.tmp names, preventing symlink-based redirection of writes
whatsnew.fyi
October 24, 2026 at 1:02 AM
graphify v0.9.95
Skill install stages writes through randomly-named temp files created with O_EXCL and restrictive mode instead of predictable *.tmp names, preventing symlink-based redirection of writes
Skill install stages writes through randomly-named temp files created with O_EXCL and restrictive mode instead of predictable *.tmp names, preventing symlink-based redirection of writes
今日のGitHubトレンド
Graphify-Labs/graphify
Claude Code用のスキルで、コード、PDF、画像などの多様なファイルから概念と関係性を抽出し、ナレッジグラフを構築することを目的としています。
マルチモーダルな解析により視覚情報を含むデータを統合し、トークン消費を抑えた効率的な情報参照と永続的な知識構造の可視化を実現します。
Graphify-Labs/graphify
Claude Code用のスキルで、コード、PDF、画像などの多様なファイルから概念と関係性を抽出し、ナレッジグラフを構築することを目的としています。
マルチモーダルな解析により視覚情報を含むデータを統合し、トークン消費を抑えた効率的な情報参照と永続的な知識構造の可視化を実現します。
GitHub - Graphify-Labs/graphify: Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store. · GitHub
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, e
github.com
October 22, 2026 at 3:56 PM
今日のGitHubトレンド
Graphify-Labs/graphify
Claude Code用のスキルで、コード、PDF、画像などの多様なファイルから概念と関係性を抽出し、ナレッジグラフを構築することを目的としています。
マルチモーダルな解析により視覚情報を含むデータを統合し、トークン消費を抑えた効率的な情報参照と永続的な知識構造の可視化を実現します。
Graphify-Labs/graphify
Claude Code用のスキルで、コード、PDF、画像などの多様なファイルから概念と関係性を抽出し、ナレッジグラフを構築することを目的としています。
マルチモーダルな解析により視覚情報を含むデータを統合し、トークン消費を抑えた効率的な情報参照と永続的な知識構造の可視化を実現します。
(2/2) more from today's trending ↓
October 22, 2026 at 10:13 PM
(2/2) more from today's trending ↓
Graphify turns codebases into local knowledge graphs via tree-sitter AST parsing, no embeddings or LLM calls. Edges are tagged extracted or inferred. Project reports its own benchmarks showing higher recall than grep baselines on LOCOMO and similar harnesses.
October 22, 2026 at 11:40 AM
Graphify turns codebases into local knowledge graphs via tree-sitter AST parsing, no embeddings or LLM calls. Edges are tagged extracted or inferred. Project reports its own benchmarks showing higher recall than grep baselines on LOCOMO and similar harnesses.
知識グラフ化ツールGraphifyでgrep/Readを置き換えたら、トークンは何倍減るのか実測した | matsu #zenn
https://zenn.dev/matsushima_a/articles/day-023-knowledge-graph-vs-grep-token-cost
https://zenn.dev/matsushima_a/articles/day-023-knowledge-graph-vs-grep-token-cost
知識グラフ化ツールGraphifyでgrep/Readを置き換えたら、トークンは何倍減るのか実測した
zenn.dev
October 22, 2026 at 3:42 PM
知識グラフ化ツールGraphifyでgrep/Readを置き換えたら、トークンは何倍減るのか実測した | matsu #zenn
https://zenn.dev/matsushima_a/articles/day-023-knowledge-graph-vs-grep-token-cost
https://zenn.dev/matsushima_a/articles/day-023-knowledge-graph-vs-grep-token-cost
Hands-on with graphify on httpx: a 2,233-node code graph in 2.1 s with zero LLM tokens, and explain at 628 tokens vs 13,659 to read the file. #aiagents
I Tested Graphify on a Real Python Repo. Here's What Happened
hackernoon.com
October 21, 2026 at 7:58 AM
Hands-on with graphify on httpx: a 2,233-node code graph in 2.1 s with zero LLM tokens, and explain at 628 tokens vs 13,659 to read the file. #aiagents
Repos: graphify convierte un repo en un grafo de conocimiento consultable con AST local y sin vector store, y sumó 1.434 estrellas en el día hasta 130.991
Repos: graphify convierte un repo en un grafo de conocimiento consultable con AST local y sin vector store, y sumó 1.434 estrellas en el día hasta…
Es Apache 2.0 y se usa como skill: uv tool install graphifyy, después graphify install detecta el asistente y registra el comando, y desde ahí /graphify. mapea código, docs, PDFs, imágenes y video a un grafo que se consulta con graphify query "<pregunta>", graphify path A B para trazar cómo se…
elcompilado.com
October 21, 2026 at 7:30 PM
Repos: graphify convierte un repo en un grafo de conocimiento consultable con AST local y sin vector store, y sumó 1.434 estrellas en el día hasta 130.991
🎉 Celebrating！ 🎉 (500+ new stars)
📦 Graphify-Labs / graphify
⭐ 129,541 (+751)
🗒 Python
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing...
📦 Graphify-Labs / graphify
⭐ 129,541 (+751)
🗒 Python
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing...
GitHub - Graphify-Labs/graphify: Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing...
github.com
October 20, 2026 at 1:17 PM
🎉 Celebrating！ 🎉 (500+ new stars)
📦 Graphify-Labs / graphify
⭐ 129,541 (+751)
🗒 Python
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing...
📦 Graphify-Labs / graphify
⭐ 129,541 (+751)
🗒 Python
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing...
今日のGitHubトレンド
Graphify-Labs/graphify
graphifyはClaude Code用のスキルで、コードやPDF、画像などの多様なファイルから概念と関係性を抽出してナレッジグラフを構築します。
情報を構造化することでトークン消費を抑え、セッション間で情報を永続的に利用可能です。
HTMLやObsidian形式での出力により、複雑な資料からの知識の可視化と効率的な管理を実現することを目的としています。
Graphify-Labs/graphify
graphifyはClaude Code用のスキルで、コードやPDF、画像などの多様なファイルから概念と関係性を抽出してナレッジグラフを構築します。
情報を構造化することでトークン消費を抑え、セッション間で情報を永続的に利用可能です。
HTMLやObsidian形式での出力により、複雑な資料からの知識の可視化と効率的な管理を実現することを目的としています。
GitHub - Graphify-Labs/graphify: Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store. · GitHub
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, e
github.com
October 20, 2026 at 3:43 PM
今日のGitHubトレンド
Graphify-Labs/graphify
graphifyはClaude Code用のスキルで、コードやPDF、画像などの多様なファイルから概念と関係性を抽出してナレッジグラフを構築します。
情報を構造化することでトークン消費を抑え、セッション間で情報を永続的に利用可能です。
HTMLやObsidian形式での出力により、複雑な資料からの知識の可視化と効率的な管理を実現することを目的としています。
Graphify-Labs/graphify
graphifyはClaude Code用のスキルで、コードやPDF、画像などの多様なファイルから概念と関係性を抽出してナレッジグラフを構築します。
情報を構造化することでトークン消費を抑え、セッション間で情報を永続的に利用可能です。
HTMLやObsidian形式での出力により、複雑な資料からの知識の可視化と効率的な管理を実現することを目的としています。
I think this is different because many of the things happening are different concepts and problem spaces
“Oo yay another react like thing” from JS land was an annoying.
Agentic harness engineering versus graphify are very different things. Not everyone needs both.
There’s useful things :)
“Oo yay another react like thing” from JS land was an annoying.
Agentic harness engineering versus graphify are very different things. Not everyone needs both.
There’s useful things :)
October 21, 2026 at 4:52 PM
I think this is different because many of the things happening are different concepts and problem spaces
“Oo yay another react like thing” from JS land was an annoying.
Agentic harness engineering versus graphify are very different things. Not everyone needs both.
There’s useful things :)
“Oo yay another react like thing” from JS land was an annoying.
Agentic harness engineering versus graphify are very different things. Not everyone needs both.
There’s useful things :)
graphify v0.9.93
Credential-shaped text such as API keys, tokens, private-key headers, and user:pass@ URLs is redacted from rationale labels before reaching graph.json, the visualization, or exports
Credential-shaped text such as API keys, tokens, private-key headers, and user:pass@ URLs is redacted from rationale labels before reaching graph.json, the visualization, or exports
graphify v0.9.93
Credential-shaped text such as API keys, tokens, private-key headers, and user:pass@ URLs is redacted from rationale labels before reaching graph.json, the visualization, or exports
whatsnew.fyi
October 20, 2026 at 7:02 PM
graphify v0.9.93
Credential-shaped text such as API keys, tokens, private-key headers, and user:pass@ URLs is redacted from rationale labels before reaching graph.json, the visualization, or exports
Credential-shaped text such as API keys, tokens, private-key headers, and user:pass@ URLs is redacted from rationale labels before reaching graph.json, the visualization, or exports
graphify supera las 128K estrellas en GitHub y su empresa entró a Y Combinator (S26). Convierte un repo en un grafo de conocimiento que tu agente consulta en lugar de hacer grep.
github.com/Graphify-Lab...
github.com/Graphify-Lab...
GitHub - Graphify-Labs/graphify: Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: l...
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing...
github.com
October 19, 2026 at 9:37 PM
graphify supera las 128K estrellas en GitHub y su empresa entró a Y Combinator (S26). Convierte un repo en un grafo de conocimiento que tu agente consulta en lugar de hacer grep.
github.com/Graphify-Lab...
github.com/Graphify-Lab...
Theres a lot of review passes across the process. Some are spec conformity and some are code review
There’s normally at least 2 review passes per implementation slice.
Normally 3-4 slices a feature & then 1-3 thermo nuclear review passes. Sometimes a graphify pass too.
And my eyeballs :)
There’s normally at least 2 review passes per implementation slice.
Normally 3-4 slices a feature & then 1-3 thermo nuclear review passes. Sometimes a graphify pass too.
And my eyeballs :)
October 21, 2026 at 7:21 AM
Theres a lot of review passes across the process. Some are spec conformity and some are code review
There’s normally at least 2 review passes per implementation slice.
Normally 3-4 slices a feature & then 1-3 thermo nuclear review passes. Sometimes a graphify pass too.
And my eyeballs :)
There’s normally at least 2 review passes per implementation slice.
Normally 3-4 slices a feature & then 1-3 thermo nuclear review passes. Sometimes a graphify pass too.
And my eyeballs :)
Exciting news for developers! Check out Graphicle, a Rust port of Graphify designed for coding agents with enhanced memory capabilities. Dive into efficient coding and explore the potential of this innovative tool. Perfect for your next project! #Rust #Gra…
https://github.com/graphicle-ai/graphicle
https://github.com/graphicle-ai/graphicle
October 20, 2026 at 12:25 AM
Exciting news for developers! Check out Graphicle, a Rust port of Graphify designed for coding agents with enhanced memory capabilities. Dive into efficient coding and explore the potential of this innovative tool. Perfect for your next project! #Rust #Gra…
https://github.com/graphicle-ai/graphicle
https://github.com/graphicle-ai/graphicle
🔍 La verdad sobre el setup viral de Claude Code con Graphify y Jev Guard cibered.com/inteligencia...
#ClaudeCode #Graphify #JevGuard #InteligenciaArtificial #DesarrolloSoftware #HerramientasIA #CiberED
#ClaudeCode #Graphify #JevGuard #InteligenciaArtificial #DesarrolloSoftware #HerramientasIA #CiberED
La verdad sobre el setup viral de Claude Code con Graphify y Jev Guard | Herramientas IA | CIBERED
El setup viral que promete convertir Claude Code en un agente autónomo con Graphify, Jev Guard, Google Workspace CLI y Playwright MCP. Auditoría técnica de cada pieza: qué funciona, qué es humo y qué ...
cibered.com
October 19, 2026 at 11:29 AM
🔍 La verdad sobre el setup viral de Claude Code con Graphify y Jev Guard cibered.com/inteligencia...
#ClaudeCode #Graphify #JevGuard #InteligenciaArtificial #DesarrolloSoftware #HerramientasIA #CiberED
#ClaudeCode #Graphify #JevGuard #InteligenciaArtificial #DesarrolloSoftware #HerramientasIA #CiberED
📝 Summary:
Graphify is a local, code-focused knowledge-graph tool that maps code, docs, and media into an explorable graph, enabling query, path, and explain workflows without embeddings. It offers an optional cloud layer for continuous, cross-repo graphs, verbosity tagging of explicit vs (1/2)
Graphify is a local, code-focused knowledge-graph tool that maps code, docs, and media into an explorable graph, enabling query, path, and explain workflows without embeddings. It offers an optional cloud layer for continuous, cross-repo graphs, verbosity tagging of explicit vs (1/2)
October 20, 2026 at 1:17 PM
📝 Summary:
Graphify is a local, code-focused knowledge-graph tool that maps code, docs, and media into an explorable graph, enabling query, path, and explain workflows without embeddings. It offers an optional cloud layer for continuous, cross-repo graphs, verbosity tagging of explicit vs (1/2)
Graphify is a local, code-focused knowledge-graph tool that maps code, docs, and media into an explorable graph, enabling query, path, and explain workflows without embeddings. It offers an optional cloud layer for continuous, cross-repo graphs, verbosity tagging of explicit vs (1/2)