Operate RushDB as persistent agent memory across native OpenClaw or Hermes integrations, MCP tools, and custom SDK harnesses. Use when an agent must remember explicit facts, capture or recall prior turns, manage durable decisions and tasks, choose between…
Model data in RushDB's property-centric LMPG graph. Use when designing or evolving schemas, choosing labels and properties, defining relationships, importing nested JSON, structuring a new use case, or modeling agent memory with EPISODE, MEMORY_FACT, domain…
Design, implement, review, or test native RushDB memory adapters for agent runtimes. Use when adding lifecycle-aware recall and persistence to a framework, mapping prompt/turn/compaction/session hooks, implementing AgentMemoryEvent v1, enforcing participant…
Build RushDB queries, searches, filters, and aggregations. Use whenever an agent needs to list or filter records, count or group data, traverse relationships, run semantic/vector search, construct a findRecords call, discover live labels and properties, or…
Design a tailored RushDB schema for any use case through guided conversation. Use this skill when a user is starting a new project, unsure what labels to define, asking "what records should I create", or wants a scaffold for a known domain (e-commerce,…
Build faceted filter UIs on top of RushDB. Use this skill when generating code for filter sidebars, multi-select facets, range sliders, or any UI that lets users narrow a record set by property values. Covers the full flow: discover properties + types,…