// quick.install uv tool install graphifyy && graphify . ✓ copied pypi v2.1.0 · MIT · 550k+ installs // graph.growing 2 nodes ∑ ∇²ψ P(H|E)

Any input.

One graph.
Complete recall. Persistent memory for AI coding assistants. Graphify turns your codebase, plus docs, papers, and meetings, into one queryable knowledge graph that self-updates on every change. On-device. No rebuilds. start_building--free > contact_founder ▸ 57k+ github.stars · ▸ 1.1M+ downloads · ▸ on-device only [ i_build_software ] [ i_run_a_business ] [ i_do_research ] // graphify.query $ graphify query "Why d_ GRAPHIFY auth.py pipeline.go router.ts RFC-14.pdf Q3-board spec.md auth-pattern perf-issue browser slack live · refreshed continuously 0 // github.stars ▲ +180 this week 0 // pypi.downloads all-time ∞ // incremental.growth 0 // languages.parsed AST-native 0 // enterprise.queue 21 Fortune 500 // ingest.surface

20 languages.

Every format. AST-level extraction across the full polyglot stack. Docs, papers, images, and meetings. One corpus, one graph. Python TypeScript Go Rust Java C/C++ Ruby Swift Kotlin PDF Markdown Images + 8 more PythonJS/TSGoRustJavaC/C++RubySwiftKotlinPHPC#ScalaRElixirPDFMDHTMLImagesMeetingsMDX // origin.mnemosyne

AI tools forget.

Graphify decodes everything. Turing's Bombe found patterns in noise and broke Enigma. Graphify does the same: every document, call, commit, and browser tab decoded into a persistent, traversable knowledge graph. On your machine. No cloud. No forgetting. // incremental.intelligence

Build once.

Grow forever. Unlike RAG pipelines that re-embed everything on every change, Graphify maintains a living graph. When a file changes, only affected nodes and edges update. The rest of your corpus stays intact, even at millions of files. // day.one

Initial corpus build

Point Graphify at any directory. AST extraction, semantic analysis, Leiden clustering. Your entire codebase or document corpus becomes a traversable graph in one pass. 5 nodes · 4 edges // week.one

Incremental updates

A file changes. Graphify detects it, re-extracts only the affected subgraph, and patches the live graph. No full rebuild. The rest of your knowledge stays connected. +2 nodes patched in // month.one

Enterprise-scale corpus

After weeks of continuous growth, your graph spans millions of edges across codebases, documents, and meetings. Query traversal is instant. Nothing was ever rebuilt from scratch. enterprise corpus // others: full rebuild on change ▸ re-embed 500k documents... 4h 12m ▸ rebuild vector index... 2h 8m ▸ re-cluster communities... stale context // graphify: incremental patch ✓ detect changed files... 3 files ✓ patch affected nodes only... 0.8s ✓ graph updated. 498,752 nodes intact. // graphify watch . · live file watcher no LLM · AST only · free [graphify watch] Watching ./src (press Ctrl+C to stop) [graphify watch] Debounce: 3.0s [graphify watch] 2 file(s) changed [graphify watch] auth.py · pipeline.go [graphify watch] Rebuilt: 1,847 nodes, 4,203 edges [graphify watch] graph.json + GRAPH_REPORT.md updated [graphify watch] Watching ./src (Ctrl+C to stop) watching_ // deployment.modes

Open source to enterprise-grade

[ local / air-gapped ] [ managed cloud ] your machine graphify cloud ✕ team A graphify cloud team B Open Source MIT license, free forever $ uv tool install graphifyy && graphify . AST extraction, 20 languages Python, JS, Go, Rust, Java and more Docs, papers & images Markdown, PDF, HTML, MDX, vision Interactive graph visualization HTML export, Leiden clustering, god-nodes 57k+ stars on GitHub · 1.1M+ downloads Active community & Claude Code skill > view_on_github → Enterprise join waitlist for access $ graphify enterprise --scale=unlimited --local-or-cloud Million-file corpus support Incremental graph, no rebuilds, no limits Local or cloud deployment Air-gapped on-prem or managed cloud, your choice Team knowledge graph Shared corpus, role-based access, merge strategies SSO, audit logs & SLA SOC 2 ready, 99.9% uptime, dedicated support

contact_enterprise → // process.graph

Three steps to your knowledge graph

01

Feed it everything

Code repos, PDFs, Markdown, research papers, images, meeting transcripts. Every artifact of your working life, continuously captured. 02

Graph is decoded

Like Turing's Bombe finding patterns in cipher text: every entity becomes a node, every relationship an edge. Leiden clustering surfaces hidden communities. 03

Query anything

"What connects this meeting to that codebase?" Answers in seconds, with sources, traversal paths, and confidence scores. // live.graph_diff

Paste code.

Watch the graph mutate. Type or edit a function below, and Graphify extracts nodes and edges in real time. // paste_your_code def authenticate(user, token): validate_token(token) session = create_session(user) log_access(user, session) return session def validate_token(token): return db.query(Token, token) def create_session(user): return Session(user_id=user.id) // extracted.graph authenticate()validate_token()create_session() 3 nodes · 1 edges · hub: validate_token() // capability.map

Everything you touch,

connected. Not just meetings. Not just code. Your entire working context, captured, structured, and queryable.

Browser history

Chrome, Safari, Firefox. Every page becomes a node. Search patterns reveal what you were thinking and when.

Meetings

Automatic transcription and extraction. Decisions, action items, concepts, all connected to your wider context.

Code & AST

AST-level extraction across 20 languages. Functions, classes, call graphs. Your codebase becomes part of the graph.

Docs & papers

PDFs, Markdown, HTML, MDX. Papers you have read, specs you have written. All in the graph..

Images & diagrams

Whiteboards, screenshots, architecture diagrams. Vision extraction connects images regardless of language.

Surprising connections

Leiden clustering surfaces communities and god-nodes you didn't know existed, across months of work. // hover to detect clusters // leiden.god_nodes

The nodes that hold everything together.

Graphify surfaces your highest betweenness-centrality nodes: the ones that connect the most communities. If one breaks, here is the blast radius. // fastapi OSS repo · 3,241 nodes · 8,904 edges 01 routing/router.py 812 files 02 dependencies/init.py 654 files 03 types/params.py 511 files 04 exceptions.py 369 files 05 middleware/base.py 260 files // blast radius = files that import this node, directly or transitively // onboarding.delta

New engineer. Day one.

Without vs with Graphify. // without.graphify 3 weeks Reading docs, pinging colleagues, grepping code, still missing context. ✕ "why was this written this way?" ✕ "who owns this module?" ✕ "what breaks if I change this?" // with.graphify + /graphify in Claude Code 4 min Run /graphify in Claude Code. Graph built. Ask anything. ✓ full codebase graph in one pass ✓ query decisions, not just code ✓ god-nodes show blast radius instantly // deployment.field

Built for everyone

who works with knowledge If your work involves reading, writing, deciding, or advising. Your context belongs to you.. business creative client-facing legal health technical research defence personal Business Leadership founders, executives, board members Your decisions span hundreds of conversations, reports, and board calls. By the time a strategy is revisited, the context that shaped it has scattered across emails, Notion pages, and faded memories. Graphify connects all of it into a living graph so you always know what led to what, and why. Understand which meeting influenced a pricing change months later Walk into board reviews with full context, not a search session Connect team commitments across scattered documents and calls // query.execute "What discussions led to the Series B pricing decision?" investor_call (Feb 12) → flagged $18/seat as SMB ceiling sales_deck → revised to $15 four days later browser.history → competitor pricing tab, 11× that week cfo_email → "hold at 15 until pipeline clears" ▸ trace_path (click to expand) call deck browser email decision hops:4 Creative Professionals marketers, designers, writers, content leads Good creative work rarely happens in a vacuum. A brief connects to a reference deck, a Figma comment connects to a client email, a rejected concept quietly reappears in the final version. Graphify gives you the thread between ideas you didn't know were related. Trace which brief led to which concept iteration Find the reference image that inspired a campaign direction Connect client feedback across three channels into one view // query.execute "What client feedback shaped the brand refresh direction?" kickoff_call → "feels too corporate, needs warmth" figma_comments → 3 flagging previous palette as cold moodboard → warm beige & terracotta references saved final_deck → approved, palette shifted 3 days after Client-facing Professionals sales, consultants, account managers Every client relationship lives across dozens of calls, emails, proposals, and follow-ups. Graphify maps every touchpoint so you always know where things stand, before you open the meeting. Recall every promise made across a multi-month deal Surface objections raised on past calls before the next one // query.execute "What did Acme flag as blockers in Q4?" oct3_call → procurement needs SSO before sign-off nov_email → legal reviewing data residency clause sso_shipped Dec 1, not yet mentioned in follow-up Legal & Professional Services solicitors, barristers, compliance, auditors Cases span years of correspondence, precedents, filings, and instructions. Graphify builds the graph across all of it, privately on your machine. Trace a contract clause back to the email that prompted it Surface related precedents across matters without manual search // query.execute "What led to the indemnity cap revision in the SPA?" client_email (Mar 4) → "cap feels too low given IP exposure" counsel_note → references Henderson v. Argyle spa_draft_v2 (Mar 11) → cap increased 2× Health Professionals doctors, therapists, clinicians, researchers Graphify builds the patient picture locally, no data uploaded, no cloud dependency, so you can surface patterns without compromising confidentiality. Connect symptoms across multiple appointments over time Stays fully on-device. No data leaves your machine. // query.execute "When did fatigue first appear in this patient's notes?" session_aug → "low energy, attributed to stress" blood_panel_sep → ferritin borderline, not flagged research_tab → iron deficiency symptoms, same week Technical & Product developers, engineers, product managers Graphify connects your code, docs, meetings, and browser research so you can trace architectural choices back to the conversation that shaped them, without asking someone who might have left. Understand why a library was chosen six months ago Onboard to a codebase by querying its decisions, not just its code // query.execute "Why did we move from REST to gRPC on the data pipeline?" RFC-14 → latency benchmarks: 3× improvement with gRPC design_meeting → REST payload size flagged as bottleneck pipeline.go → rewritten, commit refs RFC-14 ▸ trace_path (click to expand) meeting RFC-14 bench commit decision hops:3 Knowledge & Research researchers, academics, analysts, students Graphify builds a living map of your reading: papers, notes, articles, annotations, so you can see how your thinking connects, and what questions the graph is uniquely positioned to answer. Find conceptual links across papers read months apart Identify gaps: what you have not yet read but should // query.execute "What connects attention mechanisms to my notes on memory?" vaswani_et_al → attention as soft memory retrieval your_note_nov → "query-key-value mirrors associative recall" hopfield_paper → saved same week, not yet linked Defence & Intelligence analysts, officers, policy advisors, planners Air-gapped by design. Graphify processes everything locally: no cloud, no telemetry, no external API calls. Build structured intelligence graphs from documents and signals without anything leaving the machine. Build entity graphs without network exposure Fully offline. Runs on your hardware, stays on your hardware. // query.execute "What sources connect to the logistics corridor assessment?" briefing_oct → corridor capacity flagged as constrained imagery_report → same route, different framing osint_note → infrastructure works started Nov 14 Personal & Household individuals, household managers, caretakers Medical appointments, financial decisions, school correspondence, care plans, scattered across apps. Graphify connects all of it into one private, searchable graph on your device. Track medical history, prescriptions, and appointment notes Connect financial decisions, warranties, and contracts over time // query.execute "What was said at the last GP appointment?" notes_sep2 → dose adjusted, review in 6 weeks pharmacy_email → repeat prescription issued Oct 4 browser → side effects page visited twice that week // benchmark.compare

Recall vs relationships

Other tools find things. Graphify understands how they connect. // capability others graphify MEMORY find_past_information()retrieve any past work by query ✓ ✓ meeting_transcription()extract decisions and action items ✓ ✓ CONTEXT browser_history_aware()browser tabs become graph nodes ✕ ✓ incremental_update()patch graph on change, no rebuild ✕ ✓ CODE parse_ast_20_langs()deep AST extraction across 20 languages ✕ ✓ GRAPH INTELLIGENCE relationship_graph()map how every item connects to every other ✕ ✓ leiden_clustering()surface hidden communities and god-nodes ✕ ✓ PRIVACY runs_on_device()zero data leaves your machine ✕ ✓ zero_cloud_training()your data never trains any model ✕ ✓ // aegis.protocol

Your graph lives on

your machine. We do not see your data. We cannot. It never leaves your device. verify in source → On-device only Runs entirely on your hardware. Nothing leaves. No cloud No servers, no sync, no third-party exposure. Never trained on Your data is yours. We never touch it. // surprising_connection.this_week leiden.cross_cluster auth.py ↔ billing/invoice.ts Authentication logic references billing directly, a hidden dependency that breaks when the billing team refactors. Graphify caught it before code review. ← → // trusted.by

Shipping in production at

teams that can't forget. Y Combinator · S26 Rootly AI Labs 21 Fortune 500 on waitlist “ Graphify gave our AI agents persistent memory of the codebase. It's the missing infrastructure layer we didn't know we needed. RA Rootly AI Labs in production “ Finally, an AI coding tool that remembers what it built yesterday. This changes how I work with large codebases entirely. GH GitHub community ★ contributor “ One of the fastest-growing open-source AI tooling projects, with 56k stars and zero marketing spend. M Press coverage Medium · dev.to YouTube tutorials & walkthroughs Dozens of Medium & dev.to articles 1,100+ GitHub discussions & PRs // access.request

The OSS is live.

Start building now. Open-source and free forever. Drop your email for enterprise access: cloud deployment, SSO, audit logs, and million-file corpus support. // install now uv tool install graphifyy copy 2,600+ in enterprise queue · 21 Fortune 500 $ get_enterprise_access [ ACCESS GRANTED ] Enterprise access coming your way. no_spam=true | unsubscribe=anytime | card_required=false

本文档为站内渲染。原始文件本地路径：saas/source/knowledge-world/Knowledge-World-设计配色-clone-graphifylabs-ai-page-1d9edb.md（仅本地保留，不入库不部署）