head to head · open source
Langflow vs codebase-memory-mcp
Langflow has 155,023 GitHub stars, 10,119 forks, 1,056 open issues and last shipped today. codebase-memory-mcp has 43,844 stars, 3,573 forks, 597 open issues and last shipped today. Langflow leads on adoption by 254% (155,023 vs 43,844 stars). Langflow is written in Python under MIT; codebase-memory-mcp is written in C under MIT. Langflow has attracted 7% 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.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Langflow | codebase-memory-mcp | |
|---|---|---|
| GitHub stars | ★ 155K | ★ 44K |
| License | MIT | MIT |
| Written in | Python | C |
| Last push | 2026-09-20 | 2026-09-20 |
| Forks | ⑂ 10K | ⑂ 3.6K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Langflow if
- You weight community size — 155K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
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
About Langflow
Langflow is a visual builder platform for designing, testing, and deploying AI agents and retrieval augmented generation (RAG) pipelines. It lives in the Python based generative AI ecosystem and targets developers building intelligent applications. The project provides a low code interface to assemble components—such as LLMs, vector stores, memory modules, and tools—into executable workflows, while also exposing those workflows as APIs or MCP servers for integration into external applications.
read the full Langflow overview →
About codebase-memory-mcp
codebase memory mcp is a high performance code intelligence MCP server, written in C, that indexes a codebase into a persistent knowledge graph so AI coding agents can answer structural questions in under a millisecond, and it is built for developers and teams who run agents such as Cursor, Claude Code, Codex, Gemini CLI, aider, or Kilo Code against large repositories.
read the full codebase-memory-mcp overview →
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Frequently asked questions
Is Langflow or codebase-memory-mcp more popular?
Langflow has 155,023 GitHub stars and codebase-memory-mcp has 43,844. Langflow has the larger community by that measure.
Are Langflow and codebase-memory-mcp free?
Both are open source. Langflow is licensed under MIT and codebase-memory-mcp under MIT. Neither carries a licence fee.
What is the difference between Langflow and codebase-memory-mcp?
Langflow 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, Langflow or codebase-memory-mcp?
Choose Langflow if you want the larger community (155,023 stars) or its MIT licence terms. Choose codebase-memory-mcp if its feature set, stack or MIT licence fits better. Both are self-hostable.