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Build persistent codebase memory for semantic search, impact analysis, and rule enforcement.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Knowledge Master" yet — see the docs or source repo.
Using the current codebase knowledge graph, find modules, key functions, config items, and docs related to "user permission validation" and summarize them ranked by relevance.
Returns related code entities, dependency links, and documentation summaries to quickly understand implementation locations and context.
If I refactor the order state machine, analyze affected services, APIs, tests, event consumers, and database models, and identify high-risk change points.
Provides a structured blast radius analysis with upstream/downstream dependencies, potential breakages, and recommended test areas to validate first.
Based on conventions stored in the knowledge graph, check whether this new module violates naming rules, layering constraints, dependency boundaries, or error-handling patterns, and explain why.
Delivers a convention compliance report with violations, the project rules behind them, and actionable fixes.
Build a project knowledge graph for code search, traversal, and Q&A.
Build and query a codebase knowledge graph with relationships and rationale.
Secure internal knowledge retrieval with permission-aware access control and citation enforcement.
Gives AI coding agents repository intelligence, dependency analysis, and impact insights.
Give AI agents semantic memory and web search for stronger retrieval and reasoning.
Centralize knowledge, run semantic search, ingest documents, and generate RAG answers.