head to head · open source

graphify vs sepia

graphify has 119,123 GitHub stars, 11,519 forks, 1,350 open issues and last shipped 2 days ago. sepia has 2,672 stars, 175 forks, 8 open issues and last shipped yesterday. graphify leads on adoption by 4,358% (119,123 vs 2,672 stars). graphify is written in Python under Apache-2.0; sepia is written in Python under MIT. graphify has attracted 10% as many forks as stars, sepia 7%. sepia was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (antigravity, claude-code, codex, developer-tools), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

graphify ★ 119K sepia ★ 2.7K category AI & Machine Learning

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Side by side

graphify sepia
GitHub stars ★ 119K ★ 2.7K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-09-16 2026-09-17
Forks ⑂ 12K ⑂ 175
Self-hosting Yes Yes
Data ownership Your server Your server

pick graphify if

  • You weight community size — 119K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full graphify profile →

pick sepia if

  • You want the sepia feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and sepia fits your workflow better

full sepia profile →

About graphify

graphify is an Apache 2.0 Python CLI and /graphify skill that turns a whole project — code, docs, SQL schemas, configs, PDFs, images, and video — into a queryable knowledge graph, built for developers and AI agent users in Claude Code, Cursor, Codex, and Gemini CLI who want to query a codebase instead of grepping through files.

read the full graphify overview →

About sepia

sepia English 繁體中文 简体中文 De AI writing at the layer that actually gives AI away. Fiction gets its narrative architecture repaired before anyone touches word choice; professional documents (release notes, PR replies, postmortems, tickets, technical articles) each get rules matched to their venue. A portable Agent Skill: any agent that speaks the standard can load it, and the Skills CLI, which supports 77+ agents, installs it with one command. Claude Code, Codex, Grok Build, Antigravity, and QwenPaw additionally get native plugin packaging. One canonical SKILL.md , no per platform forks. Four operations: write , rev…

read the full sepia overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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Compare either of these against the rest of the AI Development Platforms field.

graphify vs Dify graphify vs langchain graphify vs ponytail graphify vs generative-ai-for-beginners graphify vs claude-mem graphify vs ragflow graphify vs PaddleOCR graphify vs Agent-Reach graphify vs headroom graphify vs Mem0 graphify vs daily_stock_analysis graphify vs LiteLLM

Frequently asked questions

Is graphify or sepia more popular?

graphify has 119,123 GitHub stars and sepia has 2,672. graphify has the larger community by that measure.

Are graphify and sepia free?

Both are open source. graphify is licensed under Apache-2.0 and sepia under MIT. Neither carries a licence fee.

What is the difference between graphify and sepia?

graphify is written in Python and sepia in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, graphify or sepia?

Choose graphify if you want the larger community (119,123 stars) or its Apache-2.0 licence terms. Choose sepia if its feature set, stack or MIT licence fits better. Both are self-hostable.