--- title: "Agent Memory you can trust | SurrealDB" description: "Memory for AI agents where every fact keeps its history, its permissions and its source. Typed, temporal and auditable, built on SurrealDB. Free Sandbox plan." url: https://surrealdb.com/agent-memory --- # Memory you can finally trust. [Start in Studio](https://studio.surrealdb.com/current/contexts) [Technical deep-dive](https://surrealdb.com/agent-memory/deep-dive) [View the benchmarks](https://surrealdb.com/agent-memory/benchmarks) **Provenance.** Every fact keeps its history, its permissions and its source, in one database. **Retrieval.** Seven signals fuse into one ranking, and the trace records each one. **One engine.** Memory in the database, not beside it: each fact and its edges in one transaction. 1. ![Babcock](https://surrealdb.com/assets/static/babcock.lo4rnVg1.svg) 2. ![ING](https://surrealdb.com/assets/static/ing.X3I6S3_V.svg) 3. ![British Airways](https://surrealdb.com/assets/static/british-airways.KEsZiwV-.svg) 4. ![Nvidia](https://surrealdb.com/assets/static/nvidia.DaIEuMil.svg) 5. ![Apple](https://surrealdb.com/assets/static/apple.D5pq4flY.svg) 6. ![SpaceX](https://surrealdb.com/assets/static/spacex.CQJEk-IL.svg) 7. ![Samsung](https://surrealdb.com/assets/static/samsung.CH-vQgnb.svg) 8. ![adidas](https://surrealdb.com/assets/static/adidas.DdTC5qhk.svg) 9. ![Tencent](https://surrealdb.com/assets/static/tencent.paQmLxyy.svg) 10. ![Alibaba](https://surrealdb.com/assets/static/alibaba.B16idgfM.svg) 11. ![PolyAI](https://surrealdb.com/assets/static/poly-ai.c3w_fAg6.svg) 12. ![Later](https://surrealdb.com/assets/static/later.Ds736jFO.svg) 13. ![Verizon](https://surrealdb.com/assets/static/verizon.BI7CajdX.svg) 14. ![Liberty Mutual](https://surrealdb.com/assets/static/liberty-mutual.B7qOU1pd.svg) 15. ![Walmart](https://surrealdb.com/assets/static/walmart.BjDg_Sr8.svg) 16. ![Carrier](https://surrealdb.com/assets/static/carrier.D21gC6NX.svg) 17. ![Saks Fifth Avenue](https://surrealdb.com/assets/static/saks-fifth-avenue.COIDpLSb.svg) 18. ![San Francisco Compute Company](https://surrealdb.com/assets/static/sfcc.B7jlImq4.svg) 19. ![Shield AI](https://surrealdb.com/assets/static/shield-ai.pINZ0KJr.svg) 20. ![Wix](https://surrealdb.com/assets/static/wix.DvHhmoBi.svg) PROOF ## Every figure is measured or built into the engine. 77.2% BEAM 1M score, official judge prompt, event ordering by Kendall tau, across the full 700-question set. [77.2%](https://surrealdb.com/agent-memory/benchmarks) 7 Signals fused into one ranking, with every signal's score recorded on the trace. [7](https://surrealdb.com/agent-memory/recall) 3 Clocks behind every fact: system time, known time and, where the source states it, valid time. [3](https://surrealdb.com/agent-memory/temporal) 1 Transaction per fact write, covering the fact, its edges and its history. [1](https://surrealdb.com/agent-memory/deep-dive) THE PROBLEM ## Where agent memory fails ### Memory ends with the session.The work is done again. The context window is an agent's only built-in memory. When the session closes, so does everything it learnt. ### Retrieval returns both facts.The old one and the new. A vector store appends. When a fact changes, both versions score well and nothing says which won, so the model guesses. ### Every question is asked again.A repeat costs as much as the first. Retrieval plus an LLM call on every question charges the same for a repeated question as for a new one, even when no fact behind it has changed. Agent Memory is not a vector database a chat-history blob a hand-rolled knowledge graph a context-window manager an agent runtime It is one database holding every fact your agent learns, with its source, its corrections and its history. HOW IT WORKS ## Write, reconcile, read. Reconcile is the hard part. Most memory layers leave reconciliation to application code. Here it is part of the engine. ### [Remember](https://surrealdb.com/agent-memory/memory) /facts /documents Conversations and documents become typed entities, attributes and relations, each row carrying its source, span and confidence. Explore memory ### [Reconcile](https://surrealdb.com/agent-memory/temporal) one reconciler no last write wins One reconciler decides what a new fact does to an old one: corrections supersede, and disagreement below the floor is recorded as uncertainty. Explore reconciliation ### [Read](https://surrealdb.com/agent-memory/recall) /query /chat A question runs through a four-tier cascade, and a repeated chat question can reuse an answer whose facts have not changed. Where retrieval runs, seven signals fuse into one ranking. Explore recall HOW IT BEHAVES ## Corrections supersede. The old fact stays. Session 4 · turn 42 Ana 2026-03-14 · 09:12 Tobie was just promoted to CTO at Acme. Facts written Tobie works at Acme as CTO turn:42 · chars 15-38 · confidence 0.91 Acme is an organisation turn:42 · chars 34-38 · confidence 0.95 Session 9 · turn 43 Ana 2026-04-12 · 16:40 Actually he moved to SurrealDB. Facts after reconciliation Tobie works at Acme as CTO superseded · valid_until 2026-04-12 · row retained Tobie works at SurrealDB turn:43 · chars 12-30 · confidence 0.88 Ask · today Where does Tobie work? SurrealDB cited turn:43 Ask · as of 2026-04-01 Where does Tobie work? Acme, as CTO cited turn:42 · superseded 2026-04-12 CAPABILITIES ## Five capabilities. One memory you can audit. Each capability states the mechanism behind it, and each has a page that shows how it works. ### [Typed memory](https://surrealdb.com/agent-memory/memory) attributes relations actions Conversations and documents become typed facts about entities. Each fact records when it was learnt, its source and its confidence and, where the source says, when it was true. Reconciliation decisions are made in code, so the same input gives the same result. Explore typed memory ### [Knowledge graph](https://surrealdb.com/agent-memory/knowledge-graph) entities relations citations Turns and documents share one entity and relation graph, so a fact from a PDF and a fact from a conversation link to the same entity, each citing the passage it came from. Explore the knowledge graph ### [Recall](https://surrealdb.com/agent-memory/recall) seven signals one ranking Vector similarity, keyword matching, graph relationships and the history of what proved useful are fused into one ranking. A cached chat answer is never reused once a fact it cited is superseded. Explore recall ### [Provenance](https://surrealdb.com/agent-memory/provenance) traces audit events Writes, ranked reads and chat answers each record a trace linked to the facts they touched, in your own database, so an answer can be traced back to its sources. Explore provenance ### [Temporal memory](https://surrealdb.com/agent-memory/temporal) valid_from valid_until A new value closes the validity of the old one instead of overwriting it, so what the agent believed on any date is one query. Explore temporal memory THE NUMBERS ## BEAM at 1M: 77.2% The score is the mean of ten memory abilities across the full 700-question BEAM 1M question set. The headline carries its judge and date, and every run, protocol and vendor comparison is on the benchmarks page. ### 77.2% BEAM 1M score, official judge prompt, event ordering by Kendall tau gemini-3.5-flash-lite judge · October 2026 ### 700 Questions scored, the full BEAM 1M question set 35 conversations ### 10 Memory abilities scored, with the mean reported above Each ability is scored separately, and every score is in the chart below Overall score, then each ability BEAM 1M overall 77.2% Instruction following 93.6% Preference following 89.5% Information extraction 88.7% Knowledge update 88.6% Contradiction resolution 78.6% Abstention 72.9% Multi-session reasoning 72.6% Summarisation 71.8% Temporal reasoning 65.7% Event ordering 49.7% [See every benchmark, judge and protocol](https://surrealdb.com/agent-memory/benchmarks) QUICKSTART ## From a context to a connected agent. Start in [Studio](https://studio.surrealdb.com/current/contexts), or read the [documentation](https://surrealdb.com/docs/agent-memory). 1. ### Create a context.Its own namespace and database. Open Studio, create a context and copy its URL and API key. A context is a tenant, and no API reads across contexts. 2. ### Remember and recall.Every fact keeps its source. Install the client, export the connection details and write a fact. Recall returns it with its source. 3. ### Connect your agent.Seven tools over MCP. Add the MCP server to Claude Desktop, Cursor or Claude Code, and the agent gets remember, recall, context, reflect, forget, upload and inspect. CLI ### Install and remember Install the agent-memory client, export the context's URL, key and ID, then write a fact and recall it with its source. Copy ``` curl -fsSL https://download.surrealdb.com/agent-memory/install.sh | shexport SPECTRON_URL=""export SPECTRON_API_KEY=""export SPECTRON_CONTEXT_ID=""agent-memory remember "Sam joined Acme as principal engineer in 2024."agent-memory recall "what is Sam's role" --json ``` MCP ### Claude Desktop and Cursor Add the context to the client's MCP configuration, and the agent gets the seven Agent Memory tools. Copy ``` { "mcpServers": { "agent-memory": { "url": "/mcp", "headers": { "Authorization": "Bearer ", "X-Spectron-Context": "" } } }} ``` MCP ### Claude Code One command registers the context's MCP server over HTTP. Copy ``` claude mcp add --transport http agent-memory "/mcp" \ --header 'Authorization: Bearer ' \ --header 'X-Spectron-Context: ' ``` INTEGRATIONS ## Runs where your agents run Seven MCP tools over streamable HTTP, adapters for agent frameworks and SDKs, all on one REST surface. Claude OpenAI Codex Cursor OpenClaw Hermes VS Code Zed Grok Zo Computer LangChain OpenAI Agents CrewAI Google ADK Pydantic AI Strands Agents EveJS Mastra Vercel AI SDK Cloudflare TanStack AI ElevenLabs LiveKit n8n Zapier Notion MCP Agent Memory CLI JavaScript Python Go Swift Kotlin Haskell Elixir Dart REST API HOW IT COMPARES ## Memory in the database ### Capability by capability SurrealDB Agent Memory Temporal graph memory Extract and retrieve Vector databases Storage model One multi-model database Graph store plus vector store Vector store, graph as an add-on Vector index only Write consistency One transaction per fact write Eventual across stores Eventual across stores \- Provenance Source, span and confidence on every fact The source episode per fact Metadata on the memory \- Corrections Supersession, with a confidence floor Invalidation, history retained Update or append Append Time model Tri-temporal: system, known, valid Validity windows, observed and recorded Timestamps \- Retrieval signals Seven, fused and scored Graph traversal plus vector Vector plus rerank Similarity only Repeated questions Chat answers reused while their facts hold Retrieval, then an LLM Retrieval, then an LLM Retrieval, then an LLM Audit trail Queryable trace graph External logging External logging External logging Access control Per-verb grants, deny by default Application-level Application-level Application-level Published benchmark Self-reported, with judge, models and date stated Self-reported Self-reported \- Ten rows, and the first causes most of the others: one engine, so a fact, its provenance and its history are written in one transaction. PRICING ## Plans for every stage. From a free Sandbox to enterprise. ## Sandbox Free, no card needed **Plan** Free 3 million tokens included, one-off [Start in Studio](https://studio.surrealdb.com/current/contexts) Choose **Sandbox** if you: - Want to try the full memory layer with no commitment Key features: - Knowledge graph with provenance - Tri-temporal memory - Hybrid retrieval (vector + BM25 + graph) - MCP server, TypeScript SDK and CLI ## Lite Billed monthly **Plan** $30/mo 1 million tokens a month included [Start in Studio](https://studio.surrealdb.com/current/contexts) Choose **Lite** if you: - Are shipping a first agent with modest usage Key features: - Knowledge graph with provenance - Tri-temporal memory - Hybrid retrieval (vector + BM25 + graph) - MCP server, TypeScript SDK and CLI ## Standard Billed monthly **Plan** $300/mo 10 million tokens a month included [Start in Studio](https://studio.surrealdb.com/current/contexts) Choose **Standard** if you: - Run production agents with real usage Key features: - Knowledge graph with provenance - Tri-temporal memory - Hybrid retrieval (vector + BM25 + graph) - MCP server, TypeScript SDK and CLI ## Plus Billed monthly **Plan** $1,100/mo 40 million tokens a month included [Start in Studio](https://studio.surrealdb.com/current/contexts) Choose **Plus** if you: - Scale agent fleets or heavier ingestion Key features: - Knowledge graph with provenance - Tri-temporal memory - Hybrid retrieval (vector + BM25 + graph) - MCP server, TypeScript SDK and CLI ## Enterprise Annual agreement **Plan** Custom Priced for your deployment [Talk to sales](https://surrealdb.com/contact/sales) Choose **Enterprise** if you: - Need your own model, a single tenant or custom SLAs Key features: - Bring your own model (BYOM) - Single-tenant on SurrealDB Cloud - Self-hosted and air-gapped deployment - Custom SLAs and enterprise support Tokens are counted on every language-model and embedding call a context makes, including background work such as consolidation. Features Sandbox Lite Standard Plus Enterprise Plans and usage Monthly price Free $30 $300 $1,100 Custom Included tokens per month 3 million (one-off) 1 million 10 million 40 million Agreed with sales Usage beyond included tokens Not available Overage rates apply Overage rates apply Overage rates apply Agreed with sales Memory capabilities Knowledge graph with entity extraction Included Included Included Included Included Conversational memory Included Included Included Included Included Tri-temporal versioning and supersession Included Included Included Included Included Provenance on every fact Included Included Included Included Included Hybrid retrieval (vector + BM25 + graph) Included Included Included Included Included Retrieval, decision, and response traces Included Included Included Included Included Multi-modal document pipeline Included Included Included Included Included MCP server, TypeScript SDK, and CLI Included Included Included Included Included Isolation and security Context isolation (own namespace and database) Included Included Included Included Included Scoped permissions and API-key attenuation Included Included Included Included Included Prompt-injection scanning Included Included Included Included Included Forget verb, and purge for GDPR erasure Included Included Included Included Included Single-tenant deployment Not included Not included Not included Not included Included Bring your own model (BYOM) Not included Not included Not included Not included Included Self-hosted and air-gapped deployment Not included Not included Not included Not included Included Support Community support Included Included Included Included Included Enterprise support with SLAs Not included Not included Not included Not included Included ## Your questions, answered Is this open source? Not yet. SurrealDB, which stores every fact, is source-available under the Business Source License 1.1: free to use, modify and self-host, including in production, and the SDKs are open source under Apache 2.0 or MIT. The memory layer on top is closed source today. The one thing SurrealDB's licence reserves is running SurrealDB as a database service for third parties, where they create and manage their own schemas or tables. Each version becomes Apache 2.0 no later than four years after its release. How was the benchmark measured? Where are the benchmark commands? What models can I use? What leaves my machine? You never delete anything? How is this different from a vector database? Is there a hosted version? 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](https://surrealdb.com/assets/static/platform-database.DUdumYDz.avif) Read more [Database](https://surrealdb.com/surrealdb) 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](https://surrealdb.com/assets/static/platform-agent-memory.Cvv8D5Wl.avif) Read more [Agent Memory](https://surrealdb.com/agent-memory) Cloud Managed clusters in the regions you choose, scaled on demand. ![Clusters in three regions on a world map, each running or scaling](https://surrealdb.com/assets/static/platform-cloud.--QZnaVi.avif) Read more [Cloud](https://surrealdb.com/cloud) Studio Query, explore and design the schema from the browser. ![A SurrealQL query in Studio and the schema graph under it](https://surrealdb.com/assets/static/platform-studio.7ykBFNLq.avif) Read more [Studio](https://surrealdb.com/studio) MCP Every model that speaks MCP reaches the database and the memory directly. ![Three models connected through MCP to the database and Agent Memory](https://surrealdb.com/assets/static/platform-mcp.D_oH0_wm.avif) Read more [MCP](https://surrealdb.com/mcp) 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 ## Give your agents a memory you can trust. Durable memory, trustworthy recall and a knowledge graph in one system you buy, secure and audit once. Built on SurrealDB. [Start in Studio](https://studio.surrealdb.com/current/contexts) [Talk to sales](https://surrealdb.com/contact/sales) ![ISO 27001](https://surrealdb.com/assets/static/iso.BzQy4FFy.svg) ![AICPA SOC 2 Type 2](https://surrealdb.com/assets/static/aicpa-soc.CE_YjqhK.svg) ![Cyber Essentials](https://surrealdb.com/assets/static/cyber-essentials.CtbmbYfL.svg) ![GDPR](https://surrealdb.com/assets/static/gdpr.IadR7loS.svg) ![Cyber Essentials Plus](https://surrealdb.com/assets/static/cyber-essentials-plus.Cl5P05xe.svg) ```json {"@context":"https://schema.org","@type":"Organization","@id":"https://surrealdb.com/#organization","name":"SurrealDB","url":"https://surrealdb.com","logo":"https://surrealdb.com/assets/static/logo.BG7_TG2b.svg","description":"SurrealDB is the context and memory layer for AI agents. 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A free Sandbox plan and paid plans from $30 a month. Built on SurrealDB.","publisher":{"@type":"Organization","name":"SurrealDB","url":"https://surrealdb.com"},"offers":[{"@type":"Offer","name":"Sandbox","availability":"https://schema.org/InStock","url":"https://studio.surrealdb.com/current/contexts","price":"0","priceCurrency":"USD"},{"@type":"Offer","name":"Agent Memory Lite","availability":"https://schema.org/InStock","url":"https://studio.surrealdb.com/current/contexts","priceSpecification":{"@type":"UnitPriceSpecification","price":"30","priceCurrency":"USD","referenceQuantity":{"@type":"QuantitativeValue","value":1,"unitCode":"MON"}}},{"@type":"Offer","name":"Agent Memory Standard","availability":"https://schema.org/InStock","url":"https://studio.surrealdb.com/current/contexts","priceSpecification":{"@type":"UnitPriceSpecification","price":"300","priceCurrency":"USD","referenceQuantity":{"@type":"QuantitativeValue","value":1,"unitCode":"MON"}}},{"@type":"Offer","name":"Agent Memory Plus","availability":"https://schema.org/InStock","url":"https://studio.surrealdb.com/current/contexts","priceSpecification":{"@type":"UnitPriceSpecification","price":"1100","priceCurrency":"USD","referenceQuantity":{"@type":"QuantitativeValue","value":1,"unitCode":"MON"}}}],"isBasedOn":"https://surrealdb.com/surrealdb"} ``` ```json {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://surrealdb.com"},{"@type":"ListItem","position":2,"name":"Agent Memory","item":"https://surrealdb.com/agent-memory"}]} ``` ```json {"@context":"https://schema.org","@type":"FAQPage","mainEntity":[{"@type":"Question","name":"Is this open source?","acceptedAnswer":{"@type":"Answer","text":"Not yet. SurrealDB, which stores every fact, is source-available under the Business Source License 1.1: free to use, modify and self-host, including in production, and the SDKs are open source under Apache 2.0 or MIT. The memory layer on top is closed source today. The one thing SurrealDB's licence reserves is running SurrealDB as a database service for third parties, where they create and manage their own schemas or tables. Each version becomes Apache 2.0 no later than four years after its release."}},{"@type":"Question","name":"How was the benchmark measured?","acceptedAnswer":{"@type":"Answer","text":"Agent Memory scores 77.2% on BEAM at 1M, across the full 700-question set in 35 conversations. The full label is: BEAM · 1M, 35 conversations, 700 questions · official judge prompt, event ordering by Kendall tau · gemini-3.5-flash-lite judge · gemini-3.8-flash answering, gemini-3.7-flash extraction · October 2026. The score is the mean of ten memory abilities, and each ability's score is shown in the chart."}},{"@type":"Question","name":"Where are the benchmark commands?","acceptedAnswer":{"@type":"Answer","text":"The harness lives in the Agent Memory repository, which is private today, and the exact invocation behind the published run was not recorded. The benchmarks page describes its three steps (ingest the 1M conversations, answer every question, re-score the recorded answers) and links the BEAM paper. We will publish the commands beside the answers file."}},{"@type":"Question","name":"What models can I use?","acceptedAnswer":{"@type":"Answer","text":"Extraction, reconciliation and answering call a language model, and the provider is selected per deployment: SurrealDB selects it on SurrealDB Cloud, and you choose it in your own cloud account or when self-hosting. The embedding model is gemini-embedding-2 at 3072 dimensions. Enterprise deployments can run local models instead, including air-gapped."}},{"@type":"Question","name":"What leaves my machine?","acceptedAnswer":{"@type":"Answer","text":"LLM calls go to whichever provider the deployment uses. By default, embedding calls go to Google, because the embedder is gemini-embedding-2; an Enterprise deployment that runs local models, including an air-gapped one, sends its model calls to servers it chooses. Everything else stays yours: the database, the facts, the traces and the object-store originals live wherever you run them."}},{"@type":"Question","name":"You never delete anything?","acceptedAnswer":{"@type":"Answer","text":"Agent Memory removes a fact only when it is told to, and three operations are distinct here. Supersession replaces a fact for retrieval while keeping the old row with valid_until set, so the chain stays queryable. Aging reduces how much weight a fact carries over time. Deletion is a separate, explicit forget verb that retires a fact so it is no longer recalled, and purge removes the history as well, which is what erasure requires."}},{"@type":"Question","name":"How is this different from a vector database?","acceptedAnswer":{"@type":"Answer","text":"Agent Memory is a memory and knowledge layer, not a vector database: typed entities, attributes and relations with provenance on every row, supersession instead of overwrite, tri-temporal history, and retrieval that fuses seven signals into one audited ranking. Vectors are one of those seven signals."}},{"@type":"Question","name":"Is there a hosted version?","acceptedAnswer":{"@type":"Answer","text":"Yes. Agent Memory runs on SurrealDB Cloud, and a context is created in Studio. It is priced in four tiers from $30 a month to Enterprise, under a free Sandbox plan that carries a one-off grant of 3 million tokens. The engine underneath, SurrealDB, is source-available under BSL 1.1 and free to self-host; the Agent Memory layer is closed source."}}]} ```