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Graphify
Graphify turns code, project documents, SQL schemas, configuration files, and optional media into a knowledge graph that developers and coding assistants can query.
Code is parsed locally with tree-sitter rather than sent to a language model. Documents and media use a semantic model pass when enabled. Each graph connection is labelled as extracted from the source or inferred by Graphify. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.
What it is
A project map for people and assistants
Graphify connects code symbols, calls, imports, documentation references, rationale notes, schemas, and other project material so they can be searched as relationships instead of rediscovered file by file.
Why it stands out
Connections show their basis
Edges are tagged EXTRACTED when they come directly from source material and INFERRED when Graphify resolves the relationship. Query, path, and explain commands let readers inspect a focused part of the graph without loading the full project again.
Availability
Local CLI and assistant skill
The official Python package is graphifyy, with two y characters, while the command is graphify. It supports Python 3.10 or newer and can install project-scoped guidance for Codex and other coding assistants.
Why it matters
What makes it useful
A coding assistant often spends time searching the same files again to rebuild its picture of a project. Graphify preserves a queryable relationship map, including the reasons and document references around the code, while keeping explicit source links distinguishable from relationships the tool inferred.
What to know
Where it fits
Use it when a sizeable codebase also depends on architecture notes, schemas, configuration, PDFs, or other project material, and repeated work needs to trace how those pieces connect. Direct file search and ordinary tests may be simpler for a small repository or a one-off question.
Notable points
What stands out
Graphify is moving quickly before a public version 1 release. The project released v0.9.47 on August 19, 2026, while its security policy still lists the 0.3.x line in the supported-versions table. Check the current release and security policy together before relying on a particular version.
Before using
What to review
Install the official graphifyy package, with two y characters. The repository says other similarly named PyPI packages are not affiliated.
Code parsing and video or audio transcription run locally. Documents, PDFs, and images use the selected assistant or model backend for semantic extraction, so check that backend before adding sensitive material.
Treat INFERRED edges as leads to verify against the original files. The graph is a navigation aid, not a replacement for source review or tests.
Review graphify-out before committing or sharing it because the graph, report, and visual map can reveal private project structure and documentation.
The assistant installer can write persistent instructions or hooks into a project. Prefer project-scoped setup first, inspect every generated change, and keep it from overriding the project rules you already trust.
If you enable the optional MCP, HTTP, URL-ingestion, database, or external model paths, review their current network and credential boundaries separately.
Reader fit
Who may find it relevant
Developers and coding-agent users who repeatedly trace relationships across a large repository.
Projects where code, architecture notes, schemas, configuration, and other documents need one connected map.
People who want explicit extracted-versus-inferred labels instead of an opaque similarity search result.
Less relevant for a small codebase, a single question, or anyone who wants a hosted coding agent rather than a local project map.
Editorial note
Why LifeHubber lists it
LifeHubber lists Graphify because it connects more than code symbols: it can place source relationships, project documents, schemas, rationale, and optional media in one inspectable graph. The extracted-versus-inferred labels also give readers a practical way to judge what still needs checking.
Source links
Source materials
Reader note
Before relying on this entry
LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.
What to explore next
Choose how broad the project map should be.
Graphify joins code with project documents and optional media. These paths compare a narrower code graph, a broader repository-intelligence layer, and the wider document-context collection.
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