Agent memoryby ZySec AI

Give your agents memory
that actually means something.

Unlimited long-term memory with perfect recall across sessions — private, trustworthy, and built on a real knowledge engine, not a scratchpad.

Docker$ docker run -d -p 9090:9090 openworkbench/relata-db
Binary$ curl -sSf https://relatadb.dev/install.sh | sh
One binary · macOS · Linux · Docker · Kubernetes
0+
Protocol doors
0+
Canonical ID types
0
MCP tools
0
SDKs
Works with your stack
PostgresS3MongoDBRedisClickHouseNeo4jBoltArrow FlightpgvectorClaude / Cursor (MCP)PostgresS3MongoDBRedisClickHouseNeo4jBoltArrow FlightpgvectorClaude / Cursor (MCP)
Zero-code adoption
0
lines of code changed to adopt

If your app speaks Postgres, S3, Mongo or Redis — you’re already done.

Relata speaks your tools’ wire protocols. Swap the host and port and you’re running on a governed, temporal knowledge engine — no SDK swap, no rewrite, no migration.

PostgresS3MongoDBRedisClickHouseNeo4jArrow Flight
Why Relata

AI forgets. Knowledge goes ungoverned.
Context gets lost across tools.

Relata is one database that fixes all three — memory with a backbone.

Memory that lasts

Agents remember across sessions — and can justify any decision with a traceable chain.

Answers you can trust

Provenance, time-travel and policy baked into every row and every query.

Drop-in, not rip-and-replace

Speaks Postgres, S3, Mongo, Redis — point your existing clients at it.

Built for your AI journey

From one agent’s memory to a sovereign agent platform — same database.

Memory · governed tools · RAG · multi-agent · governance. One agentic database that meets you at rung one and scales with you all the way up.

The DIY stack6+ services · ETL glue · data drift
PostgresNo time-travel. No graph. No identity resolution.
PineconeSeparate service. Separate bill. No governance.
Neo4jAnother database to run. ETL breaks.
Memory storeEphemeral. No provenance. Forgets on restart.
Audit logSeparate pipeline. Forgeable after the fact.
Tool layerUngoverned calls. No ACL. No masking.
Replaced by
RelataDB
one binary · one query plane
temporalgovernedagent-nativeembeddingsbranchesaudit-proof
Every capability the DIY stack provides — time-travel, provenance, identity, graph, search, embeddings, memory, audit, policy — in one engine. No ETL. No data drift. No forgeable audit. No separate services.
Use cases & industries

Battle-tested at critical scale.

Teams build on RelataDB for high-stakes intelligence workloads — products, agent swarms, and enterprise units operating at scale.

Production

Agent swarms

Hover to expand →

Production

Autonomous research

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Critical

Safe-city intelligence

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Critical

Crime analytics

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At scale

Financial intelligence

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Mission

Defense & intel

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At scale

Telecom fraud

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Production

Cyber threat intel

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Governed

Healthcare & clinical

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Vertical playbooks

See the journey for your world.

Problem-first walkthroughs with real SQL and SDK code — one per GA vertical, from sanctions screening to governed RAG.

How it works

Watch a memory form, then answer.

Data enters the knowledge graph, connections form, and when the agent is asked — it recalls the exact path and answers with provenance.

RelataDB · Agent Memory
AliceAcme Corp$2M txnRisk: HIGHMet Jul 15Flagged
What’s Alice’s risk profile?
HIGH risk — flagged for a $2M anomalous transaction linked to Acme Corp (Jul 15).Source: ingest #1842 · provenance verified
IngestConnectAskRecallAnswer
One database, many workloads

Twelve capabilities. One engine.

Hover to explore why one database is enough for memory, search, graph, governance and more.

Why RelataDB

Not just another memory layer.

mem0 and cognee are great memory SDKs. RelataDB is the knowledge engine underneath — with temporal history, governance, and zero-code adoption they can’t match.

Capability
RelataDB
Recommended
mem0
cognee
On-prem / sovereign
Partial
Bi-temporal history
Protocol doors (0 code)
Identity resolution
Policy in query
Tamper-evident audit
Knowledge graph
Partial
In-database embeddings
Schema ontology
Partial
Agent memory (MCP)
Free tier
10 GB
1M tok
OSS
Sovereign & enterprise

Built to run your most confidential data — on your premises.

Governance, provenance and policy from the ground up. Deploy on-prem, air-gapped, or in your own cloud — your data never leaves your control.

Governance

PURPOSE + cell-level masking on every read and write, every door.

Provenance & audit

Hash-chained, tamper-evident history — who changed what, when, why.

Portability

Laptop → cluster. Docker, Kubernetes, on-prem, air-gapped.

Compliance

GDPR erase, WORM export, RFC 3161 trusted-time anchor.

Deploy anywhere

Run it your way.

One binary — laptop, container, cluster, or your own cloud. No external database, no GPU.

DockerKubernetes (Helm)Binary · curl installDocker ComposemacOS appOn-prem / air-gapped
Pricing

Start free. Scale when you do.

Free
$0
For devs & local use — free forever
  • 10 GB storage (the only limit)
  • All protocol doors & multi-tenancy
  • Cluster, Arrow, encryption included
  • Community support
Get started free →
FAQ

Questions, answered.

How is RelataDB different from mem0 or cognee?

mem0 and cognee are memory SDKs. RelataDB is the knowledge engine underneath — a real database with bi-temporal history, provenance, identity resolution, and governance built in. Plus it speaks your existing tools’ protocols (0 code changes).

Is my data safe?

Sovereign by design. Deploy on-prem, air-gapped, or in your own cloud. Policy, provenance, and cell-level masking on every read and write. No data leaves your control.

Do I need to change my code?

No. Point your existing Postgres, S3, Mongo, or Redis client at RelataDB. It speaks the wire protocol — 0 code changes to adopt.

Can I self-host?

Yes. Docker, Kubernetes, bare metal, or macOS app. Free tier runs locally without a license — storage is the only limit (10 GB).

What does it cost?

Free up to 10 GB. Server/cluster licensing removes the cap with production defaults and support. Talk to us for enterprise pricing.

Does it support multi-agent swarms?

Yes. Agents get 66 governed MCP tools and long-term memory (remember · recall · forget · justify) — tenant-isolated and bi-temporal. Multiple agents share one knowledge plane.

Give your agents trusted memory in 60 seconds.

Docker$ docker run -d -p 9090:9090 openworkbench/relata-db
Binary$ curl -sSf https://relatadb.dev/install.sh | sh