Comparison
VectorCode vs codebase-memory-mcp
Verdict
Pick VectorCode if vectorCode, with its embedding techniques for code indexing, targets Python users enhancing LLM experiences through retrieval-augmented technology under an MIT license; 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.
Markdown twin · VectorCode alternatives · codebase-memory-mcp alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | VectorCode | codebase-memory-mcp |
|---|---|---|
| Maintenance | Slowing (149d since push) As of 4w · github_public_v1 | Very active (0d 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
- VectorCode
- A code repository indexing tool to supercharge your LLM experience
- codebase-memory-mcp
- High-performance code intelligence MCP server indexing codebases into a persistent knowledge graph quickly
Stars
- VectorCode
- 873
- codebase-memory-mcp
- 35k
Forks
- VectorCode
- 49
- codebase-memory-mcp
- 2.8k
Open issues
- VectorCode
- 18
- codebase-memory-mcp
- 348
Language
- VectorCode
- Python
- codebase-memory-mcp
- C
Adopt for
- VectorCode
- VectorCode, with its embedding techniques for code indexing, targets Python users enhancing LLM experiences through retrieval-augmented technology under an MIT license.
- 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.
Persona
- VectorCode
- -
- codebase-memory-mcp
- -
Runtime
- VectorCode
- -
- codebase-memory-mcp
- -
License
- VectorCode
- MIT
- codebase-memory-mcp
- MIT
Last pushed
- VectorCode
- Feb 23, 2026
- codebase-memory-mcp
- Jul 26, 2026
Categories
- VectorCode
- Data & Retrieval, LLM Frameworks
- codebase-memory-mcp
- Data & Retrieval, Developer Tools
Trust and health
Maintenance
- VectorCode
- Slowing (36%)
- codebase-memory-mcp
- Very active (96%)
Days since push
- VectorCode
- 149d
- codebase-memory-mcp
- 0d
Open issues (now)
- VectorCode
- 18
- codebase-memory-mcp
- 348
Full report
- VectorCode
- Trust report
- codebase-memory-mcp
- Trust report
Choose VectorCode if…
- VectorCode is primarily Python; codebase-memory-mcp is C.
- Tags unique to VectorCode: embeddings, mcp-server, neovim-plugin, rag.
- Also covers LLM Frameworks.
- For Python enthusiasts who need to enhance their Large Language Model (LLM) interactions by indexing large code repositories using embedding and retrieval methods.
When NOT to use VectorCode
- Avoid when project needs are outside Python or if you do not require advanced embeddings for code interaction.
- Do not use when a simpler search-and-retrieve mechanism suffices over complex embedding techniques, as VectorCode adds overhead without substantial benefit in those cases.
Choose codebase-memory-mcp if…
- codebase-memory-mcp is primarily C; VectorCode is Python.
- Tags unique to codebase-memory-mcp: aider, ast, claude-code, code-analysis.
- Also covers Developer Tools.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Davidyz/VectorCode) · observed Jul 23, 2026
- GitHub forks (Davidyz/VectorCode) · observed Jul 23, 2026
- Last push (Davidyz/VectorCode) · observed Feb 23, 2026
- License file (MIT) · observed Jul 23, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: VectorCode 873 · codebase-memory-mcp 35k (synced Jul 23, 2026).
Common questions
- What is the difference between VectorCode and codebase-memory-mcp?
- VectorCode: A code repository indexing tool to supercharge your LLM experience. codebase-memory-mcp: High-performance code intelligence MCP server indexing codebases into a persistent knowledge graph quickly. See the comparison table for live GitHub stats and shared categories.
- When should I choose VectorCode over codebase-memory-mcp?
- Choose VectorCode over codebase-memory-mcp when VectorCode is primarily Python; codebase-memory-mcp is C; Tags unique to VectorCode: embeddings, mcp-server, neovim-plugin, rag; Also covers LLM Frameworks; For Python enthusiasts who need to enhance their Large Language Model (LLM) interactions by indexing large code repositories using embedding and retrieval methods.
- When should I choose codebase-memory-mcp over VectorCode?
- Choose codebase-memory-mcp over VectorCode when codebase-memory-mcp is primarily C; VectorCode is Python; Tags unique to codebase-memory-mcp: aider, ast, claude-code, code-analysis; Also covers Developer Tools; When needing rapid codebase indexing into a knowledge graph with low latency queries.
- When should I avoid VectorCode?
- Avoid when project needs are outside Python or if you do not require advanced embeddings for code interaction. Do not use when a simpler search-and-retrieve mechanism suffices over complex embedding techniques, as VectorCode adds overhead without substantial benefit in those cases.
- 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
- Is VectorCode or codebase-memory-mcp more popular on GitHub?
- codebase-memory-mcp has more GitHub stars (35,386 vs 873). Stars measure visibility, not whether either tool fits your constraints.
- Are VectorCode and codebase-memory-mcp open source?
- Yes - both are open-source projects on GitHub (VectorCode: MIT, codebase-memory-mcp: MIT).
- Where can I find alternatives to VectorCode or codebase-memory-mcp?
- GraphCanon lists graph-backed alternatives at VectorCode alternatives and codebase-memory-mcp alternatives (VectorCode markdown twin, codebase-memory-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, VectorCode or codebase-memory-mcp?
- VectorCode: Slowing. codebase-memory-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 VectorCode and codebase-memory-mcp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: VectorCode trust report; codebase-memory-mcp trust report.