--- title: "codebase-memory-mcp vs graphify" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/deusdata-codebase-memory-mcp-vs-graphify-labs-graphify" tools: ["deusdata-codebase-memory-mcp", "graphify-labs-graphify"] --- # codebase-memory-mcp vs graphify *GraphCanon updated Jul 17, 2026* ## 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 a variety of inputs into a unified knowledge graph, ideal for creating searchable insights from mixed content types. [codebase-memory-mcp](https://deusdata.github.io/codebase-memory-mcp/) reports 30k GitHub stars, 2.4k forks, and 223 open issues, last pushed Jul 11, 2026. [graphify](https://graphifylabs.ai/) has 82k stars, 8.1k forks, and 452 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [codebase-memory-mcp's repository](https://github.com/DeusData/codebase-memory-mcp) and [graphify's repository](https://github.com/Graphify-Labs/graphify). | | [codebase-memory-mcp](/tools/deusdata-codebase-memory-mcp.md) | [graphify](/tools/graphify-labs-graphify.md) | | --- | --- | --- | | Tagline | High-performance code intelligence MCP server indexing codebases into a persistent knowledge graph quickly | Turn any code or documentation into a queryable knowledge graph | | Stars | 29,913 | 82,139 | | Forks | 2,383 | 8,086 | | Open issues | 223 | 452 | | Language | C | Python | | Adopt for | 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 transforms a variety of inputs into a unified knowledge graph, ideal for creating searchable insights from mixed content types. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, Developer Tools | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [codebase-memory-mcp](/tools/deusdata-codebase-memory-mcp.md) | [graphify](/tools/graphify-labs-graphify.md) | | --- | --- | --- | | Open issues (now) | 223 | 452 | | Owner type | User | Organization | | Full report | [trust report](/tools/deusdata-codebase-memory-mcp/trust.md) | [trust report](/tools/graphify-labs-graphify/trust.md) | **Typed relationship:** codebase-memory-mcp _(alternative)_ graphify Both tools deal with creating knowledge graphs for codebases, but they may use different approaches or technologies to serve this purpose. ## Decision facts: codebase-memory-mcp - **Adopt for:** 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. ## Decision facts: graphify - **Requirements:** Ensure to install from the correct PyPI package named `graphifyy` (with double 'y') and not other similar-named packages which are unaffiliated.; Installation involves setting up a Python environment ('venv') and ensuring all required extras are installed. - **Adopt for:** Graphify transforms a variety of inputs into a unified knowledge graph, ideal for creating searchable insights from mixed content types. ## Choose when ### Choose codebase-memory-mcp if… - codebase-memory-mcp is primarily C; graphify is Python. - 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, ast, code-analysis, code-intelligence. - Also covers Developer Tools. - When needing rapid codebase indexing into a knowledge graph with low latency queries ### Choose graphify if… - graphify is primarily Python; codebase-memory-mcp is C. - Requirements: Ensure to install from the correct PyPI package named `graphifyy` (with double 'y') and not other similar-named packages which are unaffiliated.; Installation involves setting up a Python environment ('venv') and ensuring all required extras are installed.. - 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: gemini, knowledge-graph, rag, skills. - Also covers AI Agents. - When you need to turn diverse file types (code, SQL schemas, documents, images) into a single queryable data structure that can be searched and analyzed together. ## 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 ## When NOT to use graphify - If the project exclusively involves text-based content without requiring integration or querying across different file types (e.g., plain documents with no need for cross-referencing). - Avoid using Graphify if you are looking for a tool that focuses solely on visual graph representation without the depth of semantic querying capabilities. ## 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: Turn any code or documentation 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; 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, ast, code-analysis, code-intelligence; Also covers Developer Tools; 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; Requirements: Ensure to install from the correct PyPI package named `graphifyy` (with double 'y') and not other similar-named packages which are unaffiliated.; Installation involves setting up a Python environment ('venv') and ensuring all required extras are installed.; 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: gemini, knowledge-graph, rag, skills; Also covers AI Agents; When you need to turn diverse file types (code, SQL schemas, documents, images) into a single queryable data structure that can be searched and analyzed together. ### 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 the project exclusively involves text-based content without requiring integration or querying across different file types (e.g., plain documents with no need for cross-referencing). Avoid using Graphify if you are looking for a tool that focuses solely on visual graph representation without the depth of semantic querying capabilities. ### Is codebase-memory-mcp or graphify more popular on GitHub? graphify has more GitHub stars (82,139 vs 29,913). 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: MIT). ### Where can I find alternatives to codebase-memory-mcp or graphify? GraphCanon lists graph-backed alternatives at [codebase-memory-mcp alternatives](/tools/deusdata-codebase-memory-mcp/alternatives) and [graphify alternatives](/tools/graphify-labs-graphify/alternatives) ([codebase-memory-mcp markdown twin](/tools/deusdata-codebase-memory-mcp/alternatives.md), [graphify markdown twin](/tools/graphify-labs-graphify/alternatives.md)), 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](/compare/deusdata-codebase-memory-mcp-vs-graphify-labs-graphify.md) 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](/tools/deusdata-codebase-memory-mcp/trust); [graphify trust report](/tools/graphify-labs-graphify/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=deusdata-codebase-memory-mcp`](/api/graphcanon/graph?tool=deusdata-codebase-memory-mcp) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_