How is Cognee different from Neo4j?

Cognee is the memory layer the agent talks to. Neo4j is a graph database. We often use Cognee on top of a graph when the domain is relational, and Cognee alone when the job is document and session memory.

Does memory create a privacy problem?

It can, if you store everything. We define retention, purpose, and deletion up front, the same way we would for a CRM field.

Which models can use this memory?

Claude, Gemini, OpenAI, and ADK agents, typically through MCP tools rather than a hard-wired SDK.

Salesforce MVP Hall of Fame · Certified Partner since 2010

Memory for agents, not a bigger context window.

A long prompt is not memory. Cognee gives agents a place to store and retrieve what they have already learned — customers, cases, documents — so the next session does not start from zero. We implement it next to your models and, when the domain is relational, next to Neo4j. The first week is in the org, reading what already exists.

Talk to an AI consultant

01Models · Claude, Gemini, OpenAI, Bedrock
02Agents · Agentforce, CrewAI, ADK, A2A
03Memory · Neo4j, Cognee, RAG
04Identity · IndyKite, SSO, entitlements
05Governance · policy, audit, human override

01 · MODELS

02 · AGENTS

03 · MEMORY

04 · IDENTITY

05 · GOVERNANCE

Hover to separate the layers

What we put in

The work on this layer.

The honest no: if the work is a software factory with a named delivery date, we are the wrong partner.

01Memory architecture: what is stored, for how long, and who can see itMemory architecture: what is stored, for how long, and who can see it

02Ingestion from the systems your use case actually needsIngestion from the systems your use case actually needs

03MCP tools so Claude, OpenAI, or ADK agents can read and write memory on purposeMCP tools so Claude, OpenAI, or ADK agents can read and write memory on purpose

04Retention and deletion that match your privacy policyRetention and deletion that match your privacy policy

Use cases

Where this shows up in the work.

These are the use cases we usually pair with Cognee.

AI Customer Service Transformation

Cases, knowledge, and the channel the customer already uses. An agent on the repeats. A person on the exceptions.

COO

Golden Visa screening

Eligibility as a named desk. Documents, rules, and a reviewer. We will not invent an annual euro savings.

Residency desk

Recruitment screening

A hiring desk. Screen against a written role. A person on the shortlist. Not a 3x quality-of-hire slide.

HR Director

Questions

What we actually say.

How is Cognee different from Neo4j?: Cognee is the memory layer the agent talks to. Neo4j is a graph database. We often use Cognee on top of a graph when the domain is relational, and Cognee alone when the job is document and session memory.
Does memory create a privacy problem?: It can, if you store everything. We define retention, purpose, and deletion up front, the same way we would for a CRM field.
Which models can use this memory?: Claude, Gemini, OpenAI, and ADK agents, typically through MCP tools rather than a hard-wired SDK.

The brief

Tired of agents that forget the last conversation?

We will map what should persist, what must not, and whether Cognee, Neo4j, or both belong in the first build.