head to head · open source

graphify vs agents-best-practices

graphify has 119,123 GitHub stars, 11,519 forks, 1,350 open issues and last shipped 2 days ago. agents-best-practices has 2,336 stars, 209 forks, 6 open issues and last shipped 13 days ago. graphify leads on adoption by 4,999% (119,123 vs 2,336 stars). graphify is written in Python under Apache-2.0; agents-best-practices is written in various languages under MIT. graphify has attracted 10% as many forks as stars, agents-best-practices 9%. graphify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai-agents, claude-code, codex), 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 agents-best-practices ★ 2.3K category AI & Machine Learning

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Side by side

graphify agents-best-practices
GitHub stars ★ 119K ★ 2.3K
License Apache-2.0 MIT
Written in Python
Last push 2026-09-16 2026-09-05
Forks ⑂ 12K ⑂ 209
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 agents-best-practices if

  • You want the agents-best-practices feature set and don't need the biggest community
  • You prefer the MIT license terms
  • You evaluated both and agents-best-practices fits your workflow better

full agents-best-practices 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 agents-best-practices

agents best practices is a provider neutral Agent Skill for designing, generating MVP blueprints for, auditing, refactoring, and explaining agentic harnesses, aimed at practitioners building agents with Codex, Claude Code, or other compatible harnesses.

read the full agents-best-practices 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 agents-best-practices more popular?

graphify has 119,123 GitHub stars and agents-best-practices has 2,336. graphify has the larger community by that measure.

Are graphify and agents-best-practices free?

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

What is the difference between graphify and agents-best-practices?

graphify is written in Python and agents-best-practices in various languages. 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 agents-best-practices?

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