Build context-aware
AI agents

Q: Can I use SurrealDB without Agent Memory for AI agents?

Yes. SurrealDB gives agents the multi-model database for context, graph traversal, vector search and real-time subscriptions. Agent Memory adds structured memory on top, and can be added later.

Q: What frameworks does SurrealDB integrate with?

SurrealDB integrates with LangChain, LlamaIndex and any MCP-compatible client through the MCP server. Official SDKs cover Python, JavaScript, Rust, Go, Java, .NET and PHP.

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Structured context. Documents, graphs and vectors an agent can query together.

Persistent memory. Agent Memory keeps what an agent learns, with its source.

Consistency. Every write is transactional, so agents act on facts that agree.

01 |THE PROBLEM

The context wall. Every seam between systems is where context leaks.

Context leakage

Relationships, history and metadata fragment as data moves between systems.

Partial writes

Without one transaction, memory updates in one system while state fails in another.

Compounding latency

Every hop between systems is a round trip, and they add up under load.

Operational overhead

Five systems means five failure modes, five monitors and five sets of credentials.

02 |CONTEXT ENGINEERING

Context in one query. Graph, vector, filters and time in one round trip.

1-- Context engineering: combine graph, vector, and temporal data
2LET $user = user:jaime;
3LET $query_vec = fn::embed("What products does this user like?");
4
5SELECT
6	->purchased->product AS purchase_history,
7	->reviewed->product[WHERE vector::similarity::cosine(embedding, $query_vec) > 0.8] AS relevant_products,
8	->preferences[WHERE valid_at <= time::now()] AS current_preferences
9FROM ONLY $user;

03 |MULTI-AGENT

Coordination through shared memory. One knowledge graph, under ACID guarantees.

Memory

Shared memory

Every agent reads and writes one Agent Memory graph, so knowledge accumulates across the team.

Explore Agent Memory

Writes

Serialised writes

Concurrent writes from many agents commit in order, with no lost updates.

How transactions work

Events

Event-driven handoffs

Live queries and events wake downstream agents when relevant data changes.

Explore real-time

Permissions

Unified permissions

RBAC and record-level permissions apply to every agent the same way.

Explore permissions

04 |THE STACK

Database and Agent Memory. One stack, one transaction, one policy.

Structured context

Documents, graphs, vectors, time-series and relational data in one engine.

Persistent memory

Knowledge graphs, entity extraction and temporal facts, kept with their source.

Hybrid retrieval

Vector similarity, graph traversal and structured filters in a single query.

Managed infrastructure

The full stack in SurrealDB Cloud, fully managed and scaled on demand.

Your questions,answered

How does this differ from RAG?

RAG retrieves chunks of text by vector similarity. SurrealDB and Agent Memory supply structured context, with graphs, documents, vectors, temporal facts and memory in one transactional system. RAG is one retrieval pattern within it.

Can I use SurrealDB without Agent Memory for AI agents?

What frameworks does SurrealDB integrate with?

THE PLATFORM

Everything an application and its agents know. Five surfaces, one engine.

Database

Document, graph, vector, time-series and relational in one engine.

Five data models as dotted tiles: documents, graph, vector, time-series and relational

Agent Memory

What an agent learns, with its source and its time, in the same engine.

A timeline of remembered facts, each with its source

Cloud

Managed clusters in the regions you choose, scaled on demand.

Clusters in three regions on a world map, each running or scaling

Studio

Query, explore and design the schema from the browser.

MCP

Every model that speaks MCP reaches the database and the memory directly.

Three models connected through MCP to the database and Agent Memory

IN PRODUCTION

Trusted at scale. Samsung, Nvidia, Verizon, Tencent and Walmart run on SurrealDB.

14,000+

Developers building on SurrealDB Cloud

4M+

Developers building on SurrealDB worldwide

FROM THE TEAMS

SurrealDB gives us a foundation where we can unify semantic search, knowledge graphs, and AI-driven decision making without stitching together multiple systems. Collapsing responsibility into SurrealDB has become our default engineering posture.

Justin Foley

VP of Engineering, Later

GET STARTED

Build context-aware AI agents. Structured context, persistent memory and transactional consistency in one stack.

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