Comparison
codebase-memory-mcp vs jadx-ai-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 jadx-ai-mcp if jadx-ai-mcp is a Java-based plugin that extends JADX by integrating it with MCP servers to improve functionalities like AI-driven code analysis and reverse engineering.
Markdown twin · codebase-memory-mcp alternatives · jadx-ai-mcp alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | codebase-memory-mcp | jadx-ai-mcp |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4w · github_public_v1 | Steady (59d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4w · github_public_v1 | Not a fork · Personal account As of 3w · 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
- jadx-ai-mcp
- Plugin for JADX to integrate MCP server
Stars
- codebase-memory-mcp
- 35k
- jadx-ai-mcp
- 2.6k
Forks
- codebase-memory-mcp
- 2.8k
- jadx-ai-mcp
- 232
Open issues
- codebase-memory-mcp
- 348
- jadx-ai-mcp
- 9
Language
- codebase-memory-mcp
- C
- jadx-ai-mcp
- Java
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.
- jadx-ai-mcp
- jadx-ai-mcp is a Java-based plugin that extends JADX by integrating it with MCP servers to improve functionalities like AI-driven code analysis and reverse engineering.
Persona
- codebase-memory-mcp
- -
- jadx-ai-mcp
- -
Runtime
- codebase-memory-mcp
- -
- jadx-ai-mcp
- -
License
- codebase-memory-mcp
- MIT
- jadx-ai-mcp
- Apache-2.0
Last pushed
- codebase-memory-mcp
- Jul 26, 2026
- jadx-ai-mcp
- May 28, 2026
Categories
- codebase-memory-mcp
- Data & Retrieval, Developer Tools
- jadx-ai-mcp
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- codebase-memory-mcp
- Very active (96%)
- jadx-ai-mcp
- Steady (60%)
Days since push
- codebase-memory-mcp
- 0d
- jadx-ai-mcp
- 59d
Open issues (now)
- codebase-memory-mcp
- 348
- jadx-ai-mcp
- 9
Full report
- codebase-memory-mcp
- Trust report
- jadx-ai-mcp
- Trust report
Choose codebase-memory-mcp if…
- codebase-memory-mcp is primarily C; jadx-ai-mcp is Java.
- License: codebase-memory-mcp is MIT, jadx-ai-mcp is Apache-2.0.
- Tags unique to codebase-memory-mcp: aider, ast, claude-code, code-analysis.
- Also covers Data & Retrieval.
- 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 jadx-ai-mcp if…
- jadx-ai-mcp is primarily Java; codebase-memory-mcp is C.
- License: jadx-ai-mcp is Apache-2.0, codebase-memory-mcp is MIT.
- Tags unique to jadx-ai-mcp: ai, java, llm, mcp.
- Also covers LLM Frameworks.
- Use jadx-ai-mcp when you are working with JAVA applications requiring enhanced reverse engineering capabilities or AI-driven analysis specifically integrated through the Model Context Protocol (MCP)
When NOT to use jadx-ai-mcp
- Avoid using jadx-ai-mcp if your development workflow does not involve JAVA or the use of an MCP server
- Do not opt for this plugin when your specific needs do not align with AI-driven analysis or reverse engineering tasks, as it is specifically tailored for these functionalities
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (DeusData/codebase-memory-mcp) · observed Jul 26, 2026
- GitHub forks (DeusData/codebase-memory-mcp) · observed Jul 26, 2026
- Last push (DeusData/codebase-memory-mcp) · observed Jul 26, 2026
- License file (MIT) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zinja-coder/jadx-ai-mcp) · observed Jul 27, 2026
- GitHub forks (zinja-coder/jadx-ai-mcp) · observed Jul 27, 2026
- Last push (zinja-coder/jadx-ai-mcp) · observed May 28, 2026
- License file (Apache-2.0) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: codebase-memory-mcp 35k · jadx-ai-mcp 2.6k (synced Jul 26, 2026).
Common questions
- What is the difference between codebase-memory-mcp and jadx-ai-mcp?
- codebase-memory-mcp: High-performance code intelligence MCP server indexing codebases into a persistent knowledge graph quickly. jadx-ai-mcp: Plugin for JADX to integrate MCP server. See the comparison table for live GitHub stats and shared categories.
- When should I choose codebase-memory-mcp over jadx-ai-mcp?
- Choose codebase-memory-mcp over jadx-ai-mcp when codebase-memory-mcp is primarily C; jadx-ai-mcp is Java; License: codebase-memory-mcp is MIT, jadx-ai-mcp is Apache-2.0; Tags unique to codebase-memory-mcp: aider, ast, claude-code, code-analysis; Also covers Data & Retrieval; When needing rapid codebase indexing into a knowledge graph with low latency queries.
- When should I choose jadx-ai-mcp over codebase-memory-mcp?
- Choose jadx-ai-mcp over codebase-memory-mcp when jadx-ai-mcp is primarily Java; codebase-memory-mcp is C; License: jadx-ai-mcp is Apache-2.0, codebase-memory-mcp is MIT; Tags unique to jadx-ai-mcp: ai, java, llm, mcp; Also covers LLM Frameworks; Use jadx-ai-mcp when you are working with JAVA applications requiring enhanced reverse engineering capabilities or AI-driven analysis specifically integrated through the Model Context Protocol (MCP).
- 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 jadx-ai-mcp?
- Avoid using jadx-ai-mcp if your development workflow does not involve JAVA or the use of an MCP server Do not opt for this plugin when your specific needs do not align with AI-driven analysis or reverse engineering tasks, as it is specifically tailored for these functionalities
- Is codebase-memory-mcp or jadx-ai-mcp more popular on GitHub?
- codebase-memory-mcp has more GitHub stars (35,386 vs 2,551). Stars measure visibility, not whether either tool fits your constraints.
- Are codebase-memory-mcp and jadx-ai-mcp open source?
- Yes - both are open-source projects on GitHub (codebase-memory-mcp: MIT, jadx-ai-mcp: Apache-2.0).
- Where can I find alternatives to codebase-memory-mcp or jadx-ai-mcp?
- GraphCanon lists graph-backed alternatives at codebase-memory-mcp alternatives and jadx-ai-mcp alternatives (codebase-memory-mcp markdown twin, jadx-ai-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 jadx-ai-mcp?
- codebase-memory-mcp: Very active. jadx-ai-mcp: Steady. 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 jadx-ai-mcp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: codebase-memory-mcp trust report; jadx-ai-mcp trust report.