understand-chat
FeaturedUse when you need to ask questions about a codebase or understand code using a knowledge graph
AI & Automation 30,632 stars
2539 forks Updated yesterday MIT
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# /understand-chat
Answer questions about this codebase using the knowledge graph at `.understand-anything/knowledge-graph.json`.
## Graph Structure Reference
The knowledge graph JSON has this structure:
- `project` — {name, description, languages, frameworks, analyzedAt, gitCommitHash}
- `nodes[]` — each has {id, type, name, filePath?, summary, tags[], complexity, languageNotes?}
- Code node types: file, function, class, module, concept
- Non-code node types: config, document, service, table, endpoint, pipeline, schema, resource
- Domain/knowledge node types: domain, flow, step, article, entity, topic, claim, source
- IDs use the node type as prefix, e.g. `file:path`, `function:path:name`, `config:path`, `article:path`
- `edges[]` — each has {source, target, type, direction, weight}
- Key types: imports, contains, calls, depends_on, configures, documents, deploys, triggers, contains_flow, flow_step, related, cites
- `layers[]` — each has {id, name, description, nodeIds[]}
- `tour[]` — each has {order, title, description, nodeIds[]}
## How to Read Efficiently
1. Use Grep to search within the JSON for relevant entries BEFORE reading the full file
2. Only read sections you need — don't dump the entire graph into context
3. Node names and summaries are the most useful fields for understanding
4. Edges tell you how components connect — follow imports and calls for dependency chains
## Instructions
1. Check that `.understand-anything/knowledge-graph.json` exists i...
Details
- Author
- Lum1104
- Repository
- Lum1104/Understand-Anything
- Created
- 2 months ago
- Last Updated
- yesterday
- Language
- TypeScript
- License
- MIT
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