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What is Zep AI?

Zep is an enterprise-grade agent memory infrastructure built on temporal context graphs. Developed by Zep Inc., it solves the problem of persistent, governed, and scalable memory for AI agents. Core capabilities include automated context assembly from chat history, business data, and user interactions; sub-200ms retrieval at any graph size; attribute-based access control; retention policies; and provenance tracking. It serves AI teams building production agents that need to remember users, business context, and past work. Zep integrates with any agent framework via Python, TypeScript, or Go SDKs, and offers cloud, BYOK, and BYOC deployment models. It is trusted by AI teams for applications like deal-flow analysis, portfolio review, and customer support.

AI Tool Review Summary

Performance Score

4.8/5

Content/Output Quality

High, consistent, and context-aware

Interface

Clean and developer-focused

AI Technology
LLMNLPContext Graph
Purpose of Tool

To provide persistent, governed, and scalable memory for AI agents using temporal context graphs.

Compatibility

Works with any agent framework via Python, TypeScript, and Go SDKs; supports cloud, BYOK, and BYOC deployments.

Pricing

Freemium with paid tiers

Features

Features with the highest value for users are highlighted here.

Context Graph Engine

Sub-200ms retrieval latency

Automatic fact invalidation

Provenance tracking

Attribute-based access control

Retention policies and legal hold

Multi-deployment models (Cloud, BYOK, BYOC)

Built-in observability and analytics

How It Works

1

Add Messages

Send chat messages and business data to Zep via SDK to build context graphs.

2

Automatic Graph Construction

Zep automatically creates and updates a temporal context graph from all sources.

3

Retrieve Context

Query the graph for relevant, token-efficient context with sub-200ms latency.

4

Govern and Audit

Apply access control, retention policies, and audit logs across all graphs.

Who Is It For?

AI Engineering Teams

Enterprise Architects

Customer Support Teams

Product Teams

Data Scientists

Startups

Compliance Officers

DevOps Teams

Sales Teams

Research Labs

Pricing

Free

$0/monthly
  • Up to 1,000 graphs
  • Basic retrieval
  • Community support
Popular

Pro

$49/monthly
  • Up to 10,000 graphs
  • Sub-200ms retrieval
  • Access control
  • Email support

Enterprise

Custom/monthly
  • Unlimited graphs
  • BYOC deployment
  • HIPAA BAA
  • Dedicated support

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Pros & Cons

Pros

  • Enterprise-grade governance with access control, retention, and audit built into the substrate.
  • Consistently fast retrieval under 200ms even at 100M graph nodes.

Cons

  • Pricing and detailed cost structure are not publicly listed.
  • May require significant integration effort for teams not already using graph-based memory patterns.

FAQs

Just Launched

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Rating

5.0

Pros

Cons

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Analytics of LangGraph Tutorial: Building Agents with LangChain's Agent Framework | Zep

Website traffic and keyword analysis.

Live dataFeb 2026 – Apr 2026

Monthly visits

137.79K

-8.4% vs prior month

Avg. visit duration

00:01:10

M 4 2026 snapshot

Pages / visit

3.93

M 4 2026 snapshot

Bounce rate

38.77%

Lower is better

All traffic · Worldwide

Weekly estimate · Feb 1, 2026 – Apr 29, 2026

20.85K23.15K25.46K27.77K30.07KFeb 1Feb 15Mar 1Mar 15Mar 29Apr 8Apr 22Apr 29

Peak week: 30.07K (Mar 1, 2026)Low week: 20.85K (Feb 1, 2026)WoW: 0.0%Derived from monthly estimates · SimilarWeb-equivalent

Release History

0 releases published

No releases yet.

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