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CLAUDE.md vs graph

CLAUDE.md vs a codebase knowledge graph

CLAUDE.md and a codebase knowledge graph are complementary context layers. CLAUDE.md stores project instructions and conventions; solution docs explain decisions; the graph stores relationships among code, docs, and architecture. Reliable Claude Code sessions use all three in the right order instead of expecting one file to contain the entire repository.

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Graphify outputs
graph.html
graph.json
GRAPH_REPORT.md

Graphify stores inspectable artifacts so codebase knowledge can be reviewed by humans and reused by AI coding assistants.

Rule, solution, and graph context layers connected into one project map

CLAUDE.md

Working rules

Best for commands, conventions, protected paths, and instructions that govern assistant behavior.

Solution docs

Decisions

Best for explaining why a subsystem was designed in a particular way.

Knowledge graph

Relationships

Best for querying code symbols, dependencies, documents, and architectural paths.

What belongs in CLAUDE.md?

CLAUDE.md should contain durable instructions that Claude Code needs before it acts: build and test commands, coding conventions, protected paths, review requirements, and explicit instructions for using project tools.

  • Keep it concise and action-oriented.
  • Reference graph artifacts instead of copying architecture prose.
  • Update it when team policy or tooling changes.

What does CLAUDE.md not solve?

CLAUDE.md does not maintain a live map of symbols, imports, calls, or documentation links. Those relationships change with the code and are better queried from a graph than rewritten in an instruction file.

  • It cannot prove who calls a function.
  • It quickly becomes stale as an architecture inventory.
  • It does not replace source code or tests.

Where does a knowledge graph fit?

A code knowledge graph stores structural relationships that Claude can query while working. It complements CLAUDE.md by answering repository questions that are too large or too changeable to maintain manually in a context file.

  • Find dependency and call paths.
  • Connect code to supporting documents.
  • Expose subsystem communities and high-connectivity nodes.
  • Label extracted versus inferred relationships.

How should the three context layers interact?

CLAUDE.md tells the assistant how to work, solution docs explain why a design exists, and the graph shows where implementation and explanation connect. Source code remains the final authority for behavior.

  • Read CLAUDE.md before changing the repository.
  • Query the graph for architecture and impact questions.
  • Read solution docs for intent and history.
  • Verify implementation in source and tests.

Should CLAUDE.md instruct Claude to use Graphify?

Add a short graph usage policy: name the artifact, say which questions it should answer, and require source verification for inferred edges. Do not paste the entire graph report into the instruction file.

  • Use graph.json for dependency and call-path questions.
  • Use GRAPH_REPORT.md for a concise architecture overview.
  • Refresh the graph after major structural changes.

Can a graph replace CLAUDE.md?

No. A graph shows relationships, but it cannot establish that a team forbids a schema change without a migration or that generated files must be edited through a script. Those are policies and belong in CLAUDE.md or AGENTS.md.

  • Policy belongs in instruction files.
  • Intent belongs in documentation.
  • Relationships belong in the graph.
  • Behavior belongs in source and tests.
Working commands

How do the setup commands fit together?

A concise graph policy for CLAUDE.md

Markdown
## Repository context
- Use graphify-out/graph.json for architecture and dependency questions.
- Read the cited source before editing.
- Verify INFERRED or AMBIGUOUS edges.
- Refresh the graph after major refactors.
FAQ

Frequently asked questions

Is CLAUDE.md better than AGENTS.md?

They serve similar instruction roles for different agent ecosystems. Some teams maintain one canonical instruction file and link or synchronize the other.

Should architecture notes live in CLAUDE.md?

Keep only stable rules there. Put changeable relationships in graph artifacts and deeper rationale in solution documentation.

How often should the graph refresh?

Refresh after structural changes, large refactors, dependency changes, and before architecture or PR impact reviews.

Does Graphify replace Claude Code memory?

No. Graphify adds a queryable project structure that can supplement instruction files and session memory.

Key takeaways

What should you remember?

  • CLAUDE.md stores instructions, documents explain decisions, and the graph stores relationships.
  • Keep CLAUDE.md concise and point it to graph artifacts for structural questions.
  • Verify graph-derived claims against source and tests.
Sources

Where can you verify the details?

Claude Code memory documentationHow Claude remembers project instructions and the distinction from auto memory.Graphify GitHub repositoryGraph artifacts, query workflows, and confidence labels.AGENTS.mdPortable repository instruction conventions for coding agents.

Related Graphify guides

Continue through the Graphify topic cluster with pages that explain assistant context, architecture review, documentation, and graph-based codebase understanding.

Persistent codebase memory for Claude Code

Give Claude Code durable codebase memory: build a Graphify graph, keep GRAPH_REPORT.md and graph.json in the project, and refresh them as the code changes.

AGENTS.md vs a codebase knowledge graph

Compare AGENTS.md instructions with a codebase knowledge graph, see what each layer stores, and learn how to combine them for persistent AI coding context.

AI coding assistant context that persists

Graphify creates persistent AI coding assistant context from code, docs, PDFs, diagrams, screenshots, and transcripts.

Turn this concept into a real project graph

Start from the use cases page or upload a project ZIP to build a graph that your team can inspect and reuse.

See use casesBuild a graph