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.
These are the use cases we usually pair with Cognee. Each one is a real page, not a slogan.
The agent remembers the last three cases, not just this call.
Document and eligibility memory across a long application.
Candidate context that survives more than one recruiter.
Coaching that remembers the last pledge, in the right language.
Session memory
Carry facts forward so a support or case agent does not re-ask.
Document memory
Ingest policies, contracts, and manuals the agent can cite.
Graph-backed memory
Cognee in front, Neo4j behind, when relationships matter.
Tell us what you are working with. We respond within 24 hours with a frank assessment of what it would cost, how long it takes, and whether it fits your situation.
Get in TouchTell us what you are working with. We respond within 24 hours with a frank assessment of what it would cost, how long it takes, and whether it fits your situation.
Get in TouchCognee 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.
It can, if you store everything. We define retention, purpose, and deletion up front, the same way we would for a CRM field.
Claude, Gemini, OpenAI, and ADK agents, typically through MCP tools rather than a hard-wired SDK.
We will map what should persist, what must not, and whether Cognee, Neo4j, or both belong in the first build.
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