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Zep

Reliable agents need the right context

Zep unifies business data, documents, and conversations into shared, governed context so agents can complete tasks correctly.

Teams that use Zep
Fortune 500 Tech Co.
Twin Health
Praktika.ai
Thrive AI Health
AGI Inc
Zscaler
Quorum
Nasdaq-100 Tech Company
Why Zep

Give every agent governed context at a fraction of the token cost

Zep builds governed context from across your business and returns only what each task depends on.

01

Unify business context

Every agent works from the same context, built from your business data, documents, and conversations.

02

Secure your agents’ access

Policies decide what context each agent can retrieve, and every request is logged.

03

Cut token use by 90%

Zep returns the facts a task depends on, where tool calling pulls whole records from each system.

Platform

Turn your business data
into context your agents can use

Unified context

How Zep works

Zep ingests data from across your business, builds a Context Graph for each user, customer, account, or domain, and retrieves the context each task needs.

1 Ingest

Send data from across your business

Each record keeps a link to its source.

Business data
Documents
Conversations
2 Build

Build a Context Graph for each user, account, or domain

Facts are dated and updated as your data changes.

3 Retrieve

Retrieve the context each task depends on

Filtered by policy and returned in one call.

Policy filter
context_response.py
Account: Acme
Renewal: October 31
SSO setup is blocked.
Confirm SSO setup
before renewal.
Context graphs at scale

The Context Lake

The Context Lake unifies enterprise data into millions of Context Graphs, managed and governed as one system. It runs on Konig, Zep’s graph database service.

Context Lake1,402,891active graphs
TypeSubjectEntitiesFactsUpdated
Useruser_8a32e1f92471,2042m
Orgcustomer_acme_co8941214s
Agentagent_voyager1,8209,330now
Domaindomain_billing642185m
Useruser_d72b40c11867311m
Orgcustomer_initech14260338s
Agentagent_atlas_v32,44710,58012s
Domaindomain_pricing311278m
Access controlRetentionProvenanceAudit
Retrieval latency · p95
10K148 ms
100K152 ms
1M156 ms
10M161 ms
100M168 ms

Retrieval under 200ms

Zep retrieves context in under 200 milliseconds, regardless of graph size or count.

Governance in the data layer

Zep enforces access and retention policies across graphs and records query activity for audit—all within the data layer.

Robbie strongly favors Adidas shoes.
↓ traced_from
Chat messageuser_8a32e1f9 · 2024-09-07
“I only wear Adidas shoes. I love them!”

Trace facts to sources

Trace each fact to the source it came from, and audit any answer back to its origin.

Use cases

Solutions built with Zep

Enterprise context graphs

Unify knowledge about customers, projects, and business domains into shared context for agents across your organization.

Agent memory

Give agents context from past conversations, user activity, and changing preferences.

Customer and account context

Unify account records, conversations, and events so agents understand each customer’s situation.

Recognition

Context infrastructure for the enterprise.

S&P GlobalMarketIntelligence

Zep tackles agent memory limitations through its temporal context graph.

S&P Global Market Intelligence · April 2026
“We can easily see Zep becoming a de facto partner in this layer of the enterprise agent stack.”
— Melissa Incera, S&P Global Market Intelligence
Enterprise

Built for the enterprise

Shared context, governed access

Share context across your organization while controlling what each user and agent can access.

Access control

Attribute-based access control

Use attributes to control what context each agent can access and what it can do with it.

Retention

Retention policies

Data expires on the schedule you set. Legal hold blocks deletion when compliance requires it.

Audit trail
22:14/graph/search200115ms
22:11/entity/search4034ms
22:09/graph/search200110ms
Audit

Audit and API logs

Detailed logs of every request and access decision, ready for audit.

More accurate. Faster. Fewer tokens

Agent context and memory systems often trade accuracy, latency, and token use against each other. Zep leads on all three.

LoCoMo
94.7%accuracy
Retrieval latency
155 ms
Context size
5,760 tokens
LongMemEval
90.2%accuracy
Retrieval latency
162 ms
Context size
4,408 tokens

Monitor Zep activity

Monitor data ingestion, context retrieval, latency, and errors across your projects.

Analytics

Usage, latency, and reliability for your account.

All Projects ▾Last 30 days ▾
Episodes Added1.4M
Episodes Processing847
Graphs Processing12
Graphs Created24.7K
Users Created18.3K
Avg Latency187 ms
Error Rate0.41%
Graphs Created

New graphs over time.

Users Created

New users over time.

Episodes Added

New episodes over time.

Retrieval Activity

Context retrieval and graph search requests.

Choose where to deploy Zep

Zep Cloud, Zep Cloud with your own encryption keys, or a deployment in your VPC.

Managed

Cloud

Use Zep's managed service. No infrastructure to run. Start in minutes.

  • SOC 2 Type II
  • HIPAA BAA
BYOK

Cloud + Your Own Keys

Use Zep's managed service with your own encryption keys. You control the keys that encrypt data at rest.

  • SOC 2 Type II
  • HIPAA BAA
BYOC

Bring Your Own Cloud

Deploy Zep inside your VPC. Your network, your perimeter, your compliance boundary.

Customers

What teams are saying

Voices from the teams running Zep in production.

“Zep is one of the most exciting things I've seen for real-world agent use cases in a long time.”
VP of Product, Torq and GenAI Expert
“Unlike other systems that only retrieve static documents, Zep uses a temporal knowledge graph to combine conversations and structured business data, keeping track of how things change over time.”
Founder/CEO, AlphaSignal
“Zep AI was instrumental in enabling the Sidekick's personalized experience through dynamic memory retrieval.”
CTO at Flockx
“By organizing memories into structured episodes and extracting key insights, it builds smarter, more intuitive AI agents that revolutionize how businesses harness intelligence.”
Senior Director - AI CoE, Axtria

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