Comparison
codebase-memory-mcp vs graphify
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 graphify if graphify transforms codebases into a queryable knowledge graph using local deterministic AST parsing, making it a powerful tool for developers who need to analyze and query.
Markdown twin · codebase-memory-mcp alternatives · graphify alternatives
GraphCanon updated Sep 20, 2026
25views this month
vs
Trust & integrity
| Signal | codebase-memory-mcp | graphify |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Very active (1d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- graphify
- Transforms codebases into a queryable knowledge graph
Stars
- codebase-memory-mcp
- 44k
- graphify
- 119k
Forks
- codebase-memory-mcp
- 3.6k
- graphify
- 12k
Open issues
- codebase-memory-mcp
- 597
- graphify
- 1.4k
Language
- codebase-memory-mcp
- C
- graphify
- 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.
- graphify
- Graphify transforms codebases into a queryable knowledge graph using local deterministic AST parsing, making it a powerful tool for developers who need to analyze and query their codebase comprehensively.
Persona
- codebase-memory-mcp
- -
- graphify
- -
Runtime
- codebase-memory-mcp
- -
- graphify
- -
License
- codebase-memory-mcp
- MIT
- graphify
- Apache-2.0
Last pushed
- codebase-memory-mcp
- Sep 20, 2026
- graphify
- Sep 16, 2026
Categories
- codebase-memory-mcp
- Data & Retrieval, Developer Tools
- graphify
- AI Agents, Developer Tools
Trust and health
Days since push
- codebase-memory-mcp
- 0d
- graphify
- 1d
Open issues (now)
- codebase-memory-mcp
- 597
- graphify
- 1.4k
Stars delta
- codebase-memory-mcp
- +8.5k (30d)
- graphify
- +12k (30d)
Open issues delta
- codebase-memory-mcp
- +249 (30d)
- graphify
- +416 (30d)
Owner type
- codebase-memory-mcp
- User
- graphify
- Organization
Full report
- codebase-memory-mcp
- Trust report
- graphify
- Trust report
Typed relationship
codebase-memory-mcp alternative graphifyBoth tools deal with creating knowledge graphs for codebases, but they may use different approaches or technologies to serve this purpose.
Choose codebase-memory-mcp if…
- codebase-memory-mcp is primarily C; graphify is Python.
- License: codebase-memory-mcp is MIT, graphify is Apache-2.0.
- Both tools deal with creating knowledge graphs for codebases, but they may use different approaches or technologies to serve this purpose.
- Tags unique to codebase-memory-mcp: aider, claude-code, code-intelligence, codex.
- 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 graphify if…
- graphify is primarily Python; codebase-memory-mcp is C.
- License: graphify is Apache-2.0, codebase-memory-mcp is MIT.
- Pricing: Graphify is available under the Apache-2.0 license, which is free to use, but additional features or services may be available for a fee..
- Requirements: Min 2 GB RAM; Ensure you install the correct PyPI package `graphifyy` (double-y) to avoid using unaffiliated packages..
- Both tools deal with creating knowledge graphs for codebases, but they may use different approaches or technologies to serve this purpose.
- Tags unique to graphify: ai-agents, code-search, knowledge-graph, skills.
- Also covers AI Agents.
- graphify ships Docker support for self-hosted deployment.
- When you need to convert your codebase, including documentation, SQL schemas, configurations, and PDFs, into a queryable knowledge graph locally.
When NOT to use graphify
- If you prefer tools that rely on vector stores for their operations, as Graphify does not use vector stores.
- When you need a tool that integrates with cloud services for parsing and querying, as Graphify operates locally.
- If you are looking for a tool that does not provide detailed explanations for every edge in the graph.
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 Sep 20, 2026
- GitHub forks (DeusData/codebase-memory-mcp) · observed Sep 20, 2026
- Last push (DeusData/codebase-memory-mcp) · observed Sep 20, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Graphify-Labs/graphify) · observed Sep 20, 2026
- GitHub forks (Graphify-Labs/graphify) · observed Sep 20, 2026
- Last push (Graphify-Labs/graphify) · observed Sep 16, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: codebase-memory-mcp 44k · graphify 119k (synced Sep 20, 2026).
Common questions
- What is the difference between codebase-memory-mcp and graphify?
- codebase-memory-mcp: High-performance code intelligence MCP server indexing codebases into a persistent knowledge graph quickly. graphify: Transforms codebases into a queryable knowledge graph. See the comparison table for live GitHub stats and shared categories.
- When should I choose codebase-memory-mcp over graphify?
- Choose codebase-memory-mcp over graphify when codebase-memory-mcp is primarily C; graphify is Python; License: codebase-memory-mcp is MIT, graphify is Apache-2.0; Both tools deal with creating knowledge graphs for codebases, but they may use different approaches or technologies to serve this purpose; Tags unique to codebase-memory-mcp: aider, claude-code, code-intelligence, codex; Also covers Data & Retrieval; When needing rapid codebase indexing into a knowledge graph with low latency queries.
- When should I choose graphify over codebase-memory-mcp?
- Choose graphify over codebase-memory-mcp when graphify is primarily Python; codebase-memory-mcp is C; License: graphify is Apache-2.0, codebase-memory-mcp is MIT; Pricing: Graphify is available under the Apache-2.0 license, which is free to use, but additional features or services may be available for a fee.; Requirements: Min 2 GB RAM; Ensure you install the correct PyPI package
graphifyy(double-y) to avoid using unaffiliated packages.; Both tools deal with creating knowledge graphs for codebases, but they may use different approaches or technologies to serve this purpose; Tags unique to graphify: ai-agents, code-search, knowledge-graph, skills; Also covers AI Agents; graphify ships Docker support for self-hosted deployment; When you need to convert your codebase, including documentation, SQL schemas, configurations, and PDFs, into a queryable knowledge graph locally. - 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 graphify?
- If you prefer tools that rely on vector stores for their operations, as Graphify does not use vector stores. When you need a tool that integrates with cloud services for parsing and querying, as Graphify operates locally. If you are looking for a tool that does not provide detailed explanations for every edge in the graph.
- Is codebase-memory-mcp or graphify more popular on GitHub?
- graphify has more GitHub stars (119,168 vs 43,838). Stars measure visibility, not whether either tool fits your constraints.
- Are codebase-memory-mcp and graphify open source?
- Yes - both are open-source projects on GitHub (codebase-memory-mcp: MIT, graphify: Apache-2.0).
- Where can I find alternatives to codebase-memory-mcp or graphify?
- GraphCanon lists graph-backed alternatives at codebase-memory-mcp alternatives and graphify alternatives (codebase-memory-mcp markdown twin, graphify 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 graphify?
- codebase-memory-mcp: Very active. graphify: 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 graphify?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: codebase-memory-mcp trust report; graphify trust report.