PatchWork simplifies your job application process by creating a comprehensive master profile from your existing resumes and LinkedIn. With PatchWork, generating tailored resumes for each job is quick and effortless, allowing you to apply with just a click.
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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
4.8/5
High, consistent, and context-aware
Clean and developer-focused
To provide persistent, governed, and scalable memory for AI agents using temporal context graphs.
Works with any agent framework via Python, TypeScript, and Go SDKs; supports cloud, BYOK, and BYOC deployments.
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
Add Messages
Send chat messages and business data to Zep via SDK to build context graphs.
Automatic Graph Construction
Zep automatically creates and updates a temporal context graph from all sources.
Retrieve Context
Query the graph for relevant, token-efficient context with sub-200ms latency.
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
Up to 1,000 graphs Basic retrieval Community support
Pro
Up to 10,000 graphs Sub-200ms retrieval Access control Email support
Enterprise
Unlimited graphs BYOC deployment HIPAA BAA Dedicated support
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Claim this tool to manage plans, pricing, and listing details.
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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
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Quick Zep AI Comparision
Side-by-side with top alternatives in this category.
| Tool | Rating | Visits / mo | Global rank | Category rank | Engagement | Bounce | Top market | Starts at | Free tier | Integrations | Action |
|---|---|---|---|---|---|---|---|---|---|---|---|
Zep AIAI Text Tools | 137.8K | #232,282 | #3,909 | 1m 10s3.9 pages | US(15%)#225,369 | $0 | 1 | View | |||
AI Keyboard: Writer, GrammarAI Text Tools | 1.1B | — | — | 2m2.6 pages | US(15%) | $0 | — | View | |||
Deep Saga: AI Text RPGAI Text Tools | 1.1B | — | — | 2m2.6 pages | US(15%) | $0 | — | View | |||
DeepL AI PlatformAI Text Tools | 117.8M | #455 | #2 | 2m 28s2.2 pages | DE(15%)#173 | $0 | 1 | View | |||
ReplyAssistantAI Text Tools | 234.2M | — | — | 4m 15s3.4 pages | JP(35%) | $0 | — | View |
Analytics of LangGraph Tutorial: Building Agents with LangChain's Agent Framework | Zep
Website traffic and keyword analysis.
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
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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