“knowledge graphs”

Use when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference.

Use when the user asks to "optimize entity presence", "build knowledge graph", "improve knowledge panel", "entity audit", "establish brand entity", "Google…

Supercharges code exploration with a pre-indexed semantic knowledge graph.

Shared knowledge-graph memory — query/store/confirm facts, manage entity-to-entity relationships (query/delete edges), plus decay-warnings-list.

Enhance the Context Store knowledge graph by discovering missing relationships between existing catalog nodes, proposing them for approval, and applying…

Long-term memory (plasticity knowledge graph).

Propose an ordered skill-authoring plan grounded in the Context Store knowledge graph and hand chosen steps to skill authoring.

Use when searching past session memories, knowledge cards, or the code knowledge graph.

Query and analyze the codebase using CodeEagle's knowledge graph.

Navigate the knowledge base using the knowledge graph.

Use for STRUCTURE and relationship questions about a codebase/corpus — how X reaches Y, what depends on what, blast radius, architectural hubs — and to build…

Query the knowledge graph for answers.

any input (code, docs, papers, images) → knowledge graph → clustered communities → HTML + JSON + audit report

Navigate and understand codebase structure using the codegraph knowledge graph.

Analyze a repo's documentation corpus and prune/exclude stale docs so knowledge-graph and vault tooling (graphify, Obsidian sync) index only live, high-signal…

Use when the user asks to "optimize entity presence", reconcile an entity identity, or update canonical Knowledge Graph facts; audits and maintains…

Reason over the knowledge graph using LLM agents — natural language Q&A and tool-calling iterative reasoning with bidirectional LLM↔KG validation.

Unified code intelligence — Skeleton Index (zero-dep, <4s) + AST knowledge graph (CodeGraph) + architecture diagrams (Mermaid) + smart context builder.

Store and retrieve knowledge in the Alhazen TypeDB knowledge graph - remember, recall, organize papers and notes

Add a memory system to an agent — file awareness, knowledge graph, structured state, or multi-session tracking

Queries the Precision Medicine Knowledge Graph (PrimeKG) for multiscale biomedical relationships across genes, drugs, diseases, phenotypes, pathways, and…

Build and query AI-powered knowledge bases from claude-mem observations.

把本地文件夹建成 Agent 可稳定查找、收录和维护的知识库，并支持导航、版本判断、健康检查及 SOT 分层治理。用户要求搭建、查询、更新、整理或瘦身知识库时使用。

Use when you need durable memory over documents — ingest files/notes into a typed knowledge graph and recall facts with their relationships.