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Zep

Older posts

Product updates

Agents That Always Remember What Matters

Zep now offers steerable user summaries. This post explores why these are useful and how best to implement them.

Integrations

Graphiti Hits 20K Stars! + MCP Server 1.0

Graphiti crossed 20,000 GitHub stars today! Thanks for building with us.

Engineering

How We Scaled Zep 30x in 2 Weeks (and Made It Faster)

Our infrastructure broke under 30x growth. Six weeks later, we made Zep faster than before: 10x better latency, 92% faster processing.

Context engineering

Zep v3: Context Engineering Takes Center Stage

Context engineering > prompt engineering: Zep v3 assembles memory & business data for agents that work.

Integrations

Graphiti Adds FalkorDB Support as Project Approaches 14,000 Stars

FalkorDB contributes integration to Graphiti. Project approaching 14K stars & 25K weekly PyPI downloads.

Context engineering

What is Context Engineering, Anyway?

From Prompt Engineering to Context Engineering: The Why's and How.

Agent memory

The Private Agent Memory Fallacy

AI memory wallets sound appealing but face insurmountable economic, technical, and security challenges in practice.

Product updates

Zep Q2 Feature Round-up

Zep Q2: Custom entities/edges, episode search, web debug/API logs, and more flexible, observable knowledge graphs for your AI apps.

Agent memory

Stop Using RAG for Agent Memory

Here's why you shouldn't be using RAG for agent memory—and what to do instead.

Product updates

Introducing Entity Types: Smarter, Structured Memory for Agents

Zep's new Entity Types let developers precisely structure and recall domain-specific information for more accurate, personalized agents.

Benchmarks and evaluation

Lies, Damn Lies, & Statistics: Is Mem0 Really SOTA in Agent Memory?

Mem0 claims State-of-the-Art in Agent Memory, but Zep outperforms it by 24%. We unpack why.

Benchmarks and evaluation

GPT-4.1 and o4-mini: Is OpenAI Overselling Long-Context?

We put OpenAI’s latest models through the LongMemEval benchmark—here’s why raw context size alone isn't enough.

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