head to head · open source

codebase-memory-mcp vs synthadoc

codebase-memory-mcp has 48,002 GitHub stars, 3,953 forks, 557 open issues and last shipped today. synthadoc has 1,760 stars, 172 forks, 4 open issues and last shipped yesterday. codebase-memory-mcp leads on adoption by 2,627% (48,002 vs 1,760 stars). codebase-memory-mcp is written in C under MIT; synthadoc is written in Python under AGPL-3.0. codebase-memory-mcp has attracted 8% as many forks as stars, synthadoc 10%. 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.

codebase-memory-mcp ★ 48K synthadoc ★ 1.8K category Developer Tools

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Side by side

codebase-memory-mcp synthadoc
GitHub stars ★ 48K ★ 1.8K
License MIT AGPL-3.0
Written in C Python
Last push 2026-11-03 2026-11-02
Forks ⑂ 4.0K ⑂ 172
Self-hosting Yes Yes
Data ownership Your server Your server

pick codebase-memory-mcp if

  • You weight community size — 48K stars and counting
  • You want the MIT license terms
  • Your stack matches C
  • You value the larger contributor base for long-term maintenance

full codebase-memory-mcp profile →

pick synthadoc if

  • You want the synthadoc feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches Python
  • You evaluated both and synthadoc fits your workflow better

full synthadoc profile →

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 →

About synthadoc

Synthadoc Document version: v1.5.0 Engineered for solo users and enterprises alike, providing a domain specific knowledge base that scales seamlessly while maintaining accuracy through autonomous self optimization. Built for individuals, small teams, and large organizations who need a knowledge base that stays accurate as documents accumulate. Documentation, FAQ and articles: Synthadoc reads your raw source documents — PDFs, spreadsheets, PPTs, web pages, images, videos, Word files, TXTs, and AI session transcripts (.jsonl) — and uses an LLM to synthesize them into a persistent, structured wiki. Cross references…

read the full synthadoc overview →

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Frequently asked questions

Is codebase-memory-mcp or synthadoc more popular?

codebase-memory-mcp has 48,002 GitHub stars and synthadoc has 1,760. codebase-memory-mcp has the larger community by that measure.

Are codebase-memory-mcp and synthadoc free?

Both are open source. codebase-memory-mcp is licensed under MIT and synthadoc under AGPL-3.0. Neither carries a licence fee.

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

codebase-memory-mcp is written in C and synthadoc 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, codebase-memory-mcp or synthadoc?

Choose codebase-memory-mcp if you want the larger community (48,002 stars) or its MIT licence terms. Choose synthadoc if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.