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Couchbase AI Data Plane gives production AI agents persistent memory, governed data access, tool and prompt visibility, and fast context retrieval across cloud, self-managed, hybrid, edge, and air-gapped environments. It brings Agent Memory, MCP Server, and Agent Catalog together on Couchbase, helping teams avoid scattered agent infrastructure and move from pilots to production-ready systems faster.
Keep prompts, tools, traces, memory, and operational data in one governed data layer so teams can inspect agent behavior with SQL++.
Maintain short-term, long-term, semantic, profile, and conversational memory across sessions, restarts, users, and frameworks.
Give agents standardized access to Couchbase operational data, vectors, documents, tools, prompts, traces, and cache.
Reduce redundant LLM calls with exact and semantic caching while keeping cache, vectors, documents, and operational data together.
Production agents need access to memory, tools, prompts, operational data, traces, and context, but those assets often live in scattered systems. Couchbase keeps them in one governed data layer, giving teams visibility into what an agent used, which prompt version was involved, and what data shaped the response.
Production agents need fast access to current context across operational data, vectors, documents, memory, and cache. Couchbase keeps those assets close together, reducing data hops and helping agents respond quickly across cloud, self-managed, hybrid, edge, and air-gapped environments.
Couchbase’s advanced vector search delivers billion-scale storage and search with exceptional performance. It enables rich context across text and images while ensuring scalability, security, and seamless AI tool integration. Move from prototype to production with three indexing options tailored to any use case.
Organizations often overlook unstructured data that could enhance AI. Couchbase automates data ingestion, vectorization, and indexing converting text, PDFs, and images into JSON and vectors. It automatically re-vectorizes updates to streamline workflows and give models richer context.
Couchbase provides the data foundation for critical AI apps and agents, helping teams store LLM interactions, connect agents to governed operational data, reduce custom memory and retrieval code, cut latency and token costs, and run across cloud, self-managed, hybrid, edge, and air-gapped environments.
Build with leading AI, data, and observability partners while keeping agent memory, context, tools, traces, and cache secured on Couchbase.
Get quick answers about agent memory, governed data access, LLM caching, security, and production AI agents.
Couchbase AI Data Plane provides production AI agents with one governed data layer for memory, context, tools, traces, operational data, and cache.
Agent Memory maintains short-term and long-term memory across sessions, restarts, users, and frameworks while keeping memory close to operational data.
Couchbase keeps prompts, tools, traces, memory, and operational data in one governed data layer so teams can inspect what agents used and why they responded.
Agent Catalog manages prompt metadata, tool metadata, and end-to-end traces so teams can inspect, reuse, and govern agent behavior across applications.
Agent Memory reduces token costs by reusing persistent, cumulative context instead of resending conversations each turn, while co-located data and caching cut redundant inference calls.
Yes, AI Services has officially rebranded to AI Data Plane as of June 2026. The product has evolved under the AI Data Plane identity to support new features.