head to head · open source
Langflow vs codebase-memory-mcp
Langflow has 156,307 GitHub stars, 10,321 forks, 1,056 open issues and last shipped today. codebase-memory-mcp has 48,082 stars, 3,959 forks, 552 open issues and last shipped yesterday. Langflow leads on adoption by 225% (156,307 vs 48,082 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%. Langflow 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 | ★ 156K | ★ 48K |
| License | MIT | MIT |
| Written in | Python | C |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 10K | ⑂ 4.0K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Langflow if
- You weight community size — 156K 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 powerful platform for building and deploying AI powered agents and workflows. It provides developers with both a visual authoring experience and built in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools. ✨ Highlight features Visual builder interface to quickly get started and iterate. Source code access lets you customize any component using Python. Interactive playground to immediately test and…
read the full Langflow overview →
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…
read the full codebase-memory-mcp overview →
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Frequently asked questions
Is Langflow or codebase-memory-mcp more popular?
Langflow has 156,307 GitHub stars and codebase-memory-mcp has 48,082. 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 (156,307 stars) or its MIT licence terms. Choose codebase-memory-mcp if its feature set, stack or MIT licence fits better. Both are self-hostable.