github.com/Graphify-Labs/graphify @v0.9.7

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Type /graphify in your AI coding assistant and it maps your entire project — code, docs, PDFs, images, videos — into a knowledge graph you can query instead of grepping through files.

The FastAPI codebase mapped by graphify. Every node is a concept, colors are detected communities, and the whole thing is clickable in graph.html.

Works in Claude Code, Codex, OpenCode, Kilo Code, Cursor, Gemini CLI, GitHub Copilot CLI, VS Code Copilot Chat, Aider, Amp, OpenClaw, Factory Droid, Trae, Hermes, Kimi Code, Kiro, Pi, Devin CLI, and Google Antigravity.

/graphify .

That's it. You get three files:

graphify-out/
├── graph.html       open in any browser — click nodes, filter, search
├── GRAPH_REPORT.md  the highlights: key concepts, surprising connections, suggested questions
└── graph.json       the full graph — query it anytime without re-reading your files

For a readable architecture page with Mermaid call-flow diagrams, run:

graphify export callflow-html

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Benchmarks

Benchmark	Metric	graphify	Field
LOCOMO (n=300)	recall@10	0.497	mem0 0.048, supermemory 0.149
LOCOMO (n=300)	QA accuracy	45.3%	supermemory 49.7%, mem0 27.3%
LongMemEval-S (n=50)	QA accuracy	76%	tied best
Graph build	LLM credits	0	per-token for most systems

Every system ran on the same harness with the same model and budgets, scored by a judge blind-validated against a second judge (90.6% agreement, Cohen's kappa 0.81). Full per-system tables, the code-intelligence result, and reproduction commands: BENCHMARKS.md.

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Prerequisites

Requirement	Minimum	Check	Install
Python	3.10+	python --version	python.org
uv (recommended)	any	uv --version	curl -LsSf https://astral.sh/uv/install.sh \| sh
pipx (alternative)	any	pipx --version	pip install pipx

macOS quick install (Homebrew):

brew install python@3.12 uv

Windows quick install:

winget install astral-sh.uv

Ubuntu/Debian:

sudo apt install python3.12 python3-pip pipx
# or install uv:
curl -LsSf https://astral.sh/uv/install.sh | sh

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Install

Official package: The PyPI package is graphifyy (double-y). Other graphify* packages on PyPI are not affiliated. The CLI command is still graphify.

Step 1 — install the package:

# Recommended (isolated env; if 'graphify' isn't found after, run: uv tool update-shell):
uv tool install graphifyy

# Alternatives:
pipx install graphifyy
pip install graphifyy  # may need PATH setup — see note below

Step 2 — register the skill with your AI assistant:

graphify install

That's it. Open your AI assistant and type /graphify .

To install the assistant skill into the current repository instead of your user profile, add --project:

graphify install --project
graphify install --project --platform codex

Project-scoped installs write under the current directory, for example .claude/skills/graphify/SKILL.md or .agents/skills/graphify/SKILL.md (plus a references/ sidecar the skill loads on demand), and print a git add hint for files that can be committed. Per-platform commands that support project-scoped installs accept the same flag, for example graphify claude install --project or graphify codex install --project.

PowerShell note: Use graphify . not /graphify . — the leading slash is a path separator in PowerShell.

graphify: command not found? uv tool install / pipx install put the graphify command in their tool bin dir (~/.local/bin). If your shell can't find it right after install — common on a fresh macOS + zsh setup — that dir isn't on your PATH yet: run uv tool update-shell (or pipx ensurepath), then open a new terminal. With plain pip, add ~/.local/bin (Linux) or ~/Library/Python/3.x/bin (Mac) to your PATH, or run python -m graphify.

Running with uvx / uv tool run instead of installing? Name the package, not the command: uvx --from graphifyy graphify install. Plain uvx graphify … fails (No solution found … no versions of graphify) because uv tool run reads the first word as a package, and the package is graphifyy — the graphify command lives inside it.

Avoid pip install on Mac/Windows if possible. The skill resolves Python at runtime from graphify-out/.graphify_python; if that points to a different environment than where pip installed the package, you'll get ModuleNotFoundError: No module named 'graphify'. uv tool install and pipx install isolate the package in their own env and avoid this entirely.

Git hooks and uv tool / pipx: graphify hook install embeds the current interpreter path directly into the hook scripts at install time, so the post-commit hook fires correctly even in GUI git clients and CI runners where ~/.local/bin is not on PATH. If you reinstall or upgrade graphify, re-run graphify hook install to refresh the embedded path.

Pick your platform (20+ assistants, click to expand)

Platform	Install command
Claude Code (Linux/Mac)	graphify install
Claude Code (Windows)	graphify install (auto-detected) or graphify install --platform windows
CodeBuddy	graphify install --platform codebuddy
Codex	graphify install --platform codex
OpenCode	graphify install --platform opencode
Kilo Code	graphify install --platform kilo
GitHub Copilot CLI	graphify install --platform copilot
VS Code Copilot Chat	graphify vscode install
Aider	graphify install --platform aider
OpenClaw	graphify install --platform claw
Factory Droid	graphify install --platform droid
Trae	graphify install --platform trae
Trae CN	graphify install --platform trae-cn
Gemini CLI	graphify install --platform gemini
Hermes	graphify install --platform hermes
Kimi Code	graphify install --platform kimi
Amp	graphify amp install
Agent Skills (cross-framework)	graphify install --platform agents (alias --platform skills)
Kiro IDE/CLI	graphify kiro install
Pi coding agent	graphify install --platform pi
Cursor	graphify cursor install
Devin CLI	graphify devin install
Google Antigravity	graphify antigravity install

Codex users also need multi_agent = true under [features] in ~/.codex/config.toml for parallel extraction. CodeBuddy uses the same Agent tool and PreToolUse hook mechanism as Claude Code. Factory Droid uses the Task tool for parallel subagent dispatch. OpenClaw and Aider use sequential extraction (parallel agent support is still early on those platforms). Trae uses the Agent tool for parallel subagent dispatch and does not support PreToolUse hooks — AGENTS.md is the always-on mechanism.

--platform agents (alias --platform skills) targets the generic cross-framework Agent-Skills locations: the spec's user-global ~/.agents/skills/ (read by npx skills and spec-compliant frameworks) for a global install, and ./.agents/skills/ for a project (--project) install. The bare graphify install stays single-platform (Claude Code) by design — use the named agents platform when you want the skill discoverable by any framework that reads .agents/skills.

Codex uses $graphify instead of /graphify.

Optional extras (install only what you need)

Extra	What it adds	Install
pdf	PDF extraction	uv tool install "graphifyy[pdf]"
office	.docx and .xlsx support	uv tool install "graphifyy[office]"
google	Google Sheets rendering	uv tool install "graphifyy[google]"
video	Video/audio transcription (faster-whisper + yt-dlp)	uv tool install "graphifyy[video]"
mcp	MCP stdio server	uv tool install "graphifyy[mcp]"
neo4j	Neo4j push support	uv tool install "graphifyy[neo4j]"
falkordb	FalkorDB push support	uv tool install "graphifyy[falkordb]"
svg	SVG graph export	uv tool install "graphifyy[svg]"
leiden	Leiden community detection (Python < 3.13 only)	uv tool install "graphifyy[leiden]"
ollama	Ollama local inference	uv tool install "graphifyy[ollama]"
openai	OpenAI / OpenAI-compatible APIs	uv tool install "graphifyy[openai]"
gemini	Google Gemini API	uv tool install "graphifyy[gemini]"
anthropic	Anthropic Claude API (--backend claude, uses ANTHROPIC_API_KEY)	uv tool install "graphifyy[anthropic]"
bedrock	AWS Bedrock (uses IAM, no API key)	uv tool install "graphifyy[bedrock]"
azure	Azure OpenAI Service (--backend azure, uses AZURE_OPENAI_API_KEY + AZURE_OPENAI_ENDPOINT)	uv tool install "graphifyy[openai]"
sql	SQL schema extraction	uv tool install "graphifyy[sql]"
postgres	Live PostgreSQL introspection (--postgres DSN)	uv tool install "graphifyy[postgres]"
dm	BYOND DreamMaker .dm/.dme AST extraction (may need a C compiler + python3-dev if no wheel matches your platform)	uv tool install "graphifyy[dm]"
terraform	Terraform / HCL .tf/.tfvars/.hcl AST extraction	uv tool install "graphifyy[terraform]"
pascal	Pascal / Delphi .pas/.dpr/.dpk/.inc AST extraction (more accurate calls/inherits edges; falls back to a regex extractor when absent)	uv tool install "graphifyy[pascal]"
chinese	Chinese query segmentation (jieba)	uv tool install "graphifyy[chinese]"
all	Everything above	uv tool install "graphifyy[all]"

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Make your assistant always use the graph

Run this once in your project after building a graph:

Platform	Command
Claude Code	graphify claude install