Daniel Chalef

The Retrieval Tradeoff: What 50 Experiments Taught Us About Context Engineering

Zep builds temporal knowledge graphs from conversations and business data, then automatically retrieves relevant context when your agent needs it. The goal is straightforward: give agents the information they need to complete tasks, reliably. But how much context is enough? Retrieve too little and the agent lacks information. It guesses,

Graphiti Hits 20K Stars! + MCP Server 1.0

Graphiti crossed 20,000 GitHub stars today! Thanks for building with us. Graphiti is a temporal knowledge graph that powers memory for AI agents. It's a foundational technology for Zep's context engineering platform. Over the past few months we've seen rapid adoption across startups

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

This summer, our largest enterprise customers landed all at once. Service usage increased 30x in two weeks. We went from handling thousands of hourly requests to millions overnight. Our infrastructure didn't just bend under the load. It broke. Hard. 😬 Context retrieval latency spiked from a P95 of 200ms

Zep v3: Context Engineering Takes Center Stage

Context is what makes or breaks agent applications. Early on, everyone focused on prompt engineering—tweaking the exact wording to get better responses. But as we've built more complex agents, it's become clear the real work is in context engineering: systematically assembling the right information around

Graphiti Adds FalkorDB Support as Project Approaches 14,000 Stars

The Graphiti community is hitting major milestones: nearly 14,000 GitHub stars in just eight months, with 35+ contributors and 25,000 weekly PyPI downloads. This growth reflects real developer adoption, much of it driven by the popularity of the Graphiti MCP server, which gives AI assistants powerful knowledge graph

What is Context Engineering, Anyway?

Working with large language models reveals an interesting shift in how we talk about making these systems work well. The term "prompt engineering" dominated early discussions, but you'll increasingly hear engineers talking about "context engineering" instead. This isn't just semantic drift. It&

The Private Agent Memory Fallacy

This is the first in a series of articles exploring the business of agents, data strategy in the AI era, and how companies and regulators should respond. The concept sounds compelling: a secure "wallet" for your personal AI memory. Your context (preferences, traits, and accumulated knowledge) travels seamlessly

Stop Using RAG for Agent Memory

Based on my recent talk at the AI Engineer World's Faire, here's why you shouldn't be using RAG for memory—and what to do instead. The Problem: Agents That Forget I'm Daniel, founder of Zep AI. We build memory infrastructure for AI

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.

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

Mem0 recently published research claiming to be the State-of-the-Art in Agent Memory, besting Zep. In reality, Zep outperforms Mem0 by 10% on their chosen benchmark. Why the discrepancy? We dig in to understand. 💡December 9, 2015: We've published new LoCoMo scores for Zep: 80% at <200ms latency.

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.

The One-Token Trick

How single-token LLM requests can improve RAG search at minimal cost and latency.

Announcing a New Direction for Zep's Open Source Strategy

Ending support for Zep Community Edition to fully focus our open-source efforts on Graphiti

Introducing Metered Billing and BYOC Deployments

Flexible, Scalable Pricing for High-Growth Companies and Enhanced Data Privacy for Enterprises

Cursor IDE: Adding Memory With Graphiti MCP 🤖⚡️

Upgrade Cursor with persistent memory using Graphiti MCP. Now your favorite AI coding agent remembers your preferences, standards, and specs across sessions.

Building a Memory Agent with the OpenAI Agents SDK and Zep

A video walkthrough demonstrating using Zep's agent memory and the new OpenAI Agents SDK to build an AI agent with long-term memory.

Zep Feature Retirements: May 2025

Several features will be retired after May 31, 2025. Read this post for important information on migrating to alternatives.

🎉 Big News! Graphiti is Launching on Product Hunt

Graphiti to launch on Product Hunt this Wednesday, February 19th!

Zep Is The New State of the Art In Agent Memory

Setting a new standard for agent memory with up to 100% accuracy gains and 90% lower latency.

Zep: A Temporal Knowledge Graph Architecture for Agent Memory

💡Looking for a summary of the findings? Read the announcement. Abstract We introduce Zep, a novel memory layer service for AI agents that outperforms the current state-of-the-art system, MemGPT, in the Deep Memory Retrieval (DMR) benchmark. Additionally, Zep excels in more comprehensive and challenging evaluations than DMR that better reflect

December 2024 Round-up

Explore User and Group Graphs, Fact Ratings, and SOC 2 Type 2 Certification!

Building A Russian Election Interference Knowledge Graph

How we built a Knowledge Graph-based app for exploring Russian interference in the run-up to the 2024 US elections.

Exploring Russian Election Interference with a Knowledge Graph

We built a visual exploration tool and AI assistant for analyzing Russian interference in the run-up to the 2024 US elections.

Beyond Chat Memory: Making AI Interactions More Personal

Zep now connects user conversations and business data to help AI agents understand and serve users better.

Beyond Static Graphs: Engineering Evolving Relationships

Knowledge Graphs aren't adept at modeling changes in facts. This article explores the challenges we faced building time-aware Knowledge Graphs and our approaches to solving them.