Your AI agents forget everything. Kortex remembers.
Kortex gives any agentic platform a persistent brain: trusted knowledge it can state as fact, memories about the account, its customers and itself, and behaviors it has learned from real outcomes. One API in, one API out. The agents you already built get smarter every conversation.
See everything your agents know
The Memory Map plots every memory, fact and learned behavior in one view. They are grouped by region, sized by support and shaded by confidence. Hover, zoom and pan the sample below.
- Trusted Knowledge
Source backed facts an agent is allowed to state as truth.
- Account
What the business learns about itself, including demand, phrasing and guardrails.
- Agent
How each agent gets better at its own job over time.
- Customer
Durable per person context that survives sessions and channels.
- Behaviors
Patterns attributed to real outcomes, ranked by measured lift.
- Memory
- Candidate
- Cluster
- Behavior
Sample data shown for illustration.
Four kinds of learning that compound
Most memory tools store chat history. Kortex separates what is known, who it is about, and what actually worked. That way retrieval stays sharp as volume grows.
Account memories
What the business itself learns. That includes demand patterns, preferred phrasing and guardrails the team set. Shared by every agent on the account.
Customer memories
Durable per person context: preferences, history, constraints. It follows the customer across sessions, agents and channels.
Agent memories
Each agent accumulates knowledge about doing its own job well, consolidated into clusters instead of an endless transcript log.
Behaviors learned
Kortex attributes real outcomes back to what the agent did. Bookings, deals, reviews and memberships are all included. It then ranks the patterns by measured lift.
A knowledge base your agents are allowed to trust
Hallucination is usually a knowledge problem, not a model problem. Kortex keeps a reviewed, source attributed set of facts per account. They can be imported from your site, synced from your systems, or entered by hand. Agents only receive the facts that survived review.
See how ingestion worksSource backed facts
Every trusted fact traces back to a document, sync or manual entry. That way you always know why an agent said it.
Conflicts and drift, surfaced
When two sources disagree, or an agent's belief drifts from the source of truth, it lands in review instead of quietly going live.
Human approval and tiers
Nothing becomes trusted without a person approving it. Primary facts lead retrieval; reference facts back them up.
Works with whatever you already built on
Kortex is an HTTPS API, not a framework. Call the context endpoint before your model call to get the trusted facts, memories and winning behaviors for this conversation. Post turns and outcome signals back, and the learning loop runs on its own.
Custom LangChain or CrewAI stacks, voice platforms, no-code agent builders, or a single serverless function. If it can make an HTTP request, it can use Kortex.
API referencecurl -X POST https://kleverkortex.com/api/public/v1/kortex/context \
-H "Authorization: Bearer $KORTEX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"agent_id": "agt_1a2b",
"customer_ref": "+15125550142",
"query": "do you take insurance?"
}'Any agentic use case benefits
If your agent talks to the same people twice, memory and outcome attribution are the difference between a demo and a system that improves.
Support agents
Answer from reviewed facts, remember the customer's last three issues.
Sales & booking agents
Use the phrasing that actually closed, not the phrasing that sounded good.
Internal copilots
One shared account brain across every team facing assistant.
Voice agents
Low-latency context retrieval so the caller does not have to keep explaining themselves.
Give your agents a memory
Kortex is onboarding accounts now. Tell us what you're building and we'll get you access.
Request access