head to head · open source

graphify vs codebase-memory-mcp

graphify has 141,938 GitHub stars, 13,561 forks, 1,350 open issues and last shipped 2 days ago. codebase-memory-mcp has 48,082 stars, 3,959 forks, 552 open issues and last shipped 2 days ago. graphify leads on adoption by 195% (141,938 vs 48,082 stars). graphify is written in Python under Apache-2.0; codebase-memory-mcp is written in C under MIT. graphify has attracted 10% as many forks as stars, codebase-memory-mcp 8%. codebase-memory-mcp was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 6 topic tags (ast, claude-code, code-analysis, 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 ★ 142K codebase-memory-mcp ★ 48K category AI & Machine Learning

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Side by side

graphify codebase-memory-mcp
GitHub stars ★ 142K ★ 48K
License Apache-2.0 MIT
Written in Python C
Last push 2026-11-03 2026-11-03
Forks ⑂ 14K ⑂ 4.0K
Self-hosting Yes Yes
Data ownership Your server Your server

pick graphify if

  • You weight community size — 142K 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 codebase-memory-mcp if

  • You want the codebase-memory-mcp feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches C
  • You evaluated both and codebase-memory-mcp fits your workflow better

full codebase-memory-mcp profile →

About graphify

Read this in other languages 🇺🇸 English 🇨🇳 简体中文 🇯🇵 日本語 🇰🇷 한국어 🇩🇪 Deutsch 🇫🇷 Français 🇪🇸 Español 🇮🇳 हिन्दी 🇧🇷 Português 🇷🇺 Русский 🇸🇦 العربية 🇮🇷 فارسی 🇮🇹 Italiano 🇵🇱 Polski 🇳🇱 Nederlands 🇹🇷 Türkçe 🇺🇦 Українська 🇻🇳 Tiếng Việt 🇮🇩 Bahasa Indonesia 🇸🇪 Svenska 🇬🇷 Ελληνικά 🇷🇴 Română 🇨🇿 Čeština 🇫🇮 Suomi 🇩🇰 Dansk 🇳🇴 Norsk 🇭🇺 Magyar 🇹🇭 ภาษาไทย 🇺🇿 Oʻzbekcha 🇹🇼 繁體中文 🇵🇭 Filipino 🇮🇱 עברית Early access to the graphify platform is open before the public v1 launch: app.graphify.com Type /graphify in your AI coding assistant and it maps your entire project (code…

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About codebase-memory-mcp

codebase memory mcp: local code intelligence for AI agents via MCP Understand your repository, from source code to the systems around it. codebase memory mcp is an MCP server that connects code, documentation, configuration, and infrastructure in a persistent local knowledge graph. Use it to find an unfamiliar feature, follow a call across services, trace a deployment back to its source, or assess which parts of a project a change could affect. Give your coding agent structural context through Model Context Protocol (MCP), or query the graph directly from the CLI. The MCP server is the core of the project. Its…

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Frequently asked questions

Is graphify or codebase-memory-mcp more popular?

graphify has 141,938 GitHub stars and codebase-memory-mcp has 48,082. graphify has the larger community by that measure.

Are graphify and codebase-memory-mcp free?

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

What is the difference between graphify and codebase-memory-mcp?

graphify is written in Python and codebase-memory-mcp in C. 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 codebase-memory-mcp?

Choose graphify if you want the larger community (141,938 stars) or its Apache-2.0 licence terms. Choose codebase-memory-mcp if its feature set, stack or MIT licence fits better. Both are self-hostable.