Home/Compare/codebase-memory-mcp vs jcodemunch-mcp

Comparison

codebase-memory-mcp vs jcodemunch-mcp

Verdict

Pick codebase-memory-mcp if codebase-memory-mcp excels at indexing codebases into a persistent knowledge graph with support for 158 languages, sub-ms query times, and minimal token use, delivered as a single static binary; pick jcodemunch-mcp if jcodemunch-mcp is a high-efficiency MCP server that uses tree-sitter AST for precise, symbol-level GitHub code retrieval. It aims to provide coding assistance and retrieval with significant.

Markdown twin · codebase-memory-mcp alternatives · jcodemunch-mcp alternatives

GraphCanon updated today

codebase-memory-mcp logo

codebase-memory-mcp

DeusData/codebase-memory-mcp

41kpushed Aug 24, 2026
vs
jcodemunch-mcp logo

jcodemunch-mcp

jgravelle/jcodemunch-mcp

2.2kpushed Jul 26, 2026

Trust & integrity

Signalcodebase-memory-mcpjcodemunch-mcp
Maintenance
Very active (1d since push)
As of today · github_public_v1
Very active (0d since push)
As of 1mo · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Personal account
As of 1mo · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

codebase-memory-mcp
High-performance code intelligence MCP server indexing codebases into a persistent knowledge graph quickly
jcodemunch-mcp
Cut AI token costs 95%+ on code exploration through precise symbol-level GitHub code retrieval

Stars

codebase-memory-mcp
41k
jcodemunch-mcp
2.2k

Forks

codebase-memory-mcp
3.3k
jcodemunch-mcp
317

Open issues

codebase-memory-mcp
510
jcodemunch-mcp
7

Language

codebase-memory-mcp
C
jcodemunch-mcp
Python

Adopt for

codebase-memory-mcp
codebase-memory-mcp excels at indexing codebases into a persistent knowledge graph with support for 158 languages, sub-ms query times, and minimal token use, delivered as a single static binary.
jcodemunch-mcp
jcodemunch-mcp is a high-efficiency MCP server that uses tree-sitter AST for precise, symbol-level GitHub code retrieval. It aims to provide coding assistance and retrieval with significant token cost savings.

Persona

codebase-memory-mcp
-
jcodemunch-mcp
-

Runtime

codebase-memory-mcp
-
jcodemunch-mcp
-

License

codebase-memory-mcp
MIT
jcodemunch-mcp
Other

Last pushed

codebase-memory-mcp
Aug 24, 2026
jcodemunch-mcp
Jul 26, 2026

Categories

codebase-memory-mcp
Data & Retrieval, Developer Tools
jcodemunch-mcp
Data & Retrieval, Developer Tools

Trust and health

Days since push

codebase-memory-mcp
1d
jcodemunch-mcp
0d

Open issues (now)

codebase-memory-mcp
510
jcodemunch-mcp
7

Stars delta

codebase-memory-mcp
+5.2k (30d)
jcodemunch-mcp
Unknown

Open issues delta

codebase-memory-mcp
+162 (30d)
jcodemunch-mcp
Unknown

Full report

codebase-memory-mcp
Trust report
jcodemunch-mcp
Trust report

Choose codebase-memory-mcp if…

  • codebase-memory-mcp is primarily C; jcodemunch-mcp is Python.
  • License: codebase-memory-mcp is MIT, jcodemunch-mcp is Other.
  • Tags unique to codebase-memory-mcp: aider, code-analysis, codex, cursor.
  • When needing rapid codebase indexing into a knowledge graph with low latency queries

When NOT to use codebase-memory-mcp

  • If you demand extensive interactive graphical UI features beyond its command-line interface capabilities
  • When your project prioritizes a dynamic runtime environment over static binaries

Choose jcodemunch-mcp if…

  • jcodemunch-mcp is primarily Python; codebase-memory-mcp is C.
  • License: jcodemunch-mcp is Other, codebase-memory-mcp is MIT.
  • Tags unique to jcodemunch-mcp: ai-coding, ai-tools, github, mcp-server.
  • jcodemunch-mcp ships Docker support for self-hosted deployment.
  • - Use jcodemunch-mcp when you are working on projects where minimizing AI token usage is crucial, as it can save up to 95% of tokens.

When NOT to use jcodemunch-mcp

  • - Avoid jcodemunch-mcp if your primary focus does not involve token optimization and you are willing to use more general MCP services without strong token-economy incentives.
  • - Do not opt for this tool if working with codebases or systems that do not rely heavily on GitHub repositories, as its retrieval feature is optimized for GitHub.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: codebase-memory-mcp 41k · jcodemunch-mcp 2.2k (synced Aug 25, 2026).

Common questions

What is the difference between codebase-memory-mcp and jcodemunch-mcp?
codebase-memory-mcp: High-performance code intelligence MCP server indexing codebases into a persistent knowledge graph quickly. jcodemunch-mcp: Cut AI token costs 95%+ on code exploration through precise symbol-level GitHub code retrieval. See the comparison table for live GitHub stats and shared categories.
When should I choose codebase-memory-mcp over jcodemunch-mcp?
Choose codebase-memory-mcp over jcodemunch-mcp when codebase-memory-mcp is primarily C; jcodemunch-mcp is Python; License: codebase-memory-mcp is MIT, jcodemunch-mcp is Other; Tags unique to codebase-memory-mcp: aider, code-analysis, codex, cursor; When needing rapid codebase indexing into a knowledge graph with low latency queries.
When should I choose jcodemunch-mcp over codebase-memory-mcp?
Choose jcodemunch-mcp over codebase-memory-mcp when jcodemunch-mcp is primarily Python; codebase-memory-mcp is C; License: jcodemunch-mcp is Other, codebase-memory-mcp is MIT; Tags unique to jcodemunch-mcp: ai-coding, ai-tools, github, mcp-server; jcodemunch-mcp ships Docker support for self-hosted deployment; - Use jcodemunch-mcp when you are working on projects where minimizing AI token usage is crucial, as it can save up to 95% of tokens.
When should I avoid codebase-memory-mcp?
If you demand extensive interactive graphical UI features beyond its command-line interface capabilities When your project prioritizes a dynamic runtime environment over static binaries
When should I avoid jcodemunch-mcp?
- Avoid jcodemunch-mcp if your primary focus does not involve token optimization and you are willing to use more general MCP services without strong token-economy incentives. - Do not opt for this tool if working with codebases or systems that do not rely heavily on GitHub repositories, as its retrieval feature is optimized for GitHub.
Is codebase-memory-mcp or jcodemunch-mcp more popular on GitHub?
codebase-memory-mcp has more GitHub stars (40,581 vs 2,236). Stars measure visibility, not whether either tool fits your constraints.
Are codebase-memory-mcp and jcodemunch-mcp open source?
Yes - both are open-source projects on GitHub (codebase-memory-mcp: MIT, jcodemunch-mcp: Other).
Where can I find alternatives to codebase-memory-mcp or jcodemunch-mcp?
GraphCanon lists graph-backed alternatives at codebase-memory-mcp alternatives and jcodemunch-mcp alternatives (codebase-memory-mcp markdown twin, jcodemunch-mcp markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, codebase-memory-mcp or jcodemunch-mcp?
codebase-memory-mcp: Very active. jcodemunch-mcp: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for codebase-memory-mcp and jcodemunch-mcp?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: codebase-memory-mcp trust report; jcodemunch-mcp trust report.

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