Agent memory
Keep state, decisions, and tool output available across sessions.
Explore agent memoryUse cases
RushDB normalizes structured data into queryable graph context as it arrives. Nested payloads are linked automatically. After flat imports, relationship analysis can suggest reviewable join patterns across scattered sources. Use these guides to build a focused workflow around the resulting graph intelligence.
Start with the technical problem your application needs to solve.
Keep state, decisions, and tool output available across sessions.
Explore agent memoryRetrieve related context, not only the nearest similar chunks.
Explore graph-aware RAGAdd search and connected-data features without another sync pipeline.
Explore AI-powered appsEach blueprint narrows the data model, retrieval path, operational guardrails, and runnable implementation files to one realistic job.
Coordinate a live SaaS incident through shared, durable graph memory.
Explore the incident war roomKeep customer context available when your application switches model providers.
Explore shared LLM memoryMove from ingest to KPI trends, dashboard drill-downs, and connected operational context.
Explore analytical workloadsSwitch MCP clients, SDK agents, and orchestration frameworks without rebuilding memory.
Explore agent harness memoryCommit authorized sandbox findings, evidence, and breach-abuse logs to one graph for defensive review.
Explore security validationRun local vLLM inference over portfolio, deal, memo, and policy records without sending private context to hosted models.
Explore on-prem inferenceTurn browser 3D rig assessments and telemetry JSON into cohort dashboards without join-heavy analytics work.
Explore mining training analyticsMatch investors, sellers, and homeowners from vague search intent to ontology-grounded property filters.
Explore property intelligencePush the JSON your UI needs, then build product filters from RushDB labels, properties, values, and records.
Explore rapid prototypingRun resumable workflows with durable goals, steps, approvals, and tool output.
Explore agentic automationBuild a catalogue that searches book content while keeping author and topic provenance.
Explore the books cataloguePersist contract facts and retrieve changed clauses with citation-linked context.
Explore contract-review memoryTurn mixed research inputs into graph context for iterative, citation-preserving workflows.
Explore research loopsYour use case
Start free, push your first JSON payload, and see the records, relationships, searchable text, and ontology RushDB discovers.
Start free