Context graphs
Temporal knowledge graphs that structure and relate context.
Why we built a graph database service for agent memory
Konig, Zep's graph database service, is the data plane beneath our agent memory platform. This post covers why we built it, how it works, and what we learned along the way.
How Zep tracks provenance in agent memory
Agent memory is synthesized: an LLM derives facts from chat histories, documents, and business data. A derived fact matches no source word-for-word, so nothing ties it back to where it came from. Zep records that lineage; debugging, source-scoped retrieval, and compliance all depend on it.
Markdown is not agent memory
Some of the most capable agents in production keep their memory in plain markdown files, and for a single agent and a single user it is hard to beat. The pattern breaks in predictable places: at scale, as facts change and errors compound, and under concurrent agents.
The Batch API: Load Large Datasets into Agent Memory
Zep's Batch API loads large datasets into agent memory faster, in batches up to 50,000 items, with a progress dashboard and no impact on real-time ingestion.
Observations: Patterns and Insights from the Context Graph
Observations are a new context type in Zep that capture patterns and insights across your Context Graphs, automatically discovered and surfaced to agents.
3 Decisions That Shape Every Agent's Context Architecture
Every agent context architecture comes down to three decisions: scope, data sources, and retrieval strategy. A framework for reasoning about persistent context for AI agents.
Build Better Context Graphs: Custom Instructions, Search Filters, and Webhooks
Custom extraction instructions, property-level search filters, exclusion filters, and webhooks — more control over how you build and query context graphs.
How Zep Works: A Visual Guide to Knowledge Graphs for AI Agents
Agents don't fail because the model is bad. They fail because they don't have the right context.
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.
Graphiti Hits 20K Stars! + MCP Server 1.0
Graphiti crossed 20,000 GitHub stars today! Thanks for building with us.
What is Context Engineering, Anyway?
From Prompt Engineering to Context Engineering: The Why's and How.
Stop Using RAG for Agent Memory
Here's why you shouldn't be using RAG for agent memory—and what to do instead.
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.
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.
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
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.
Zep Q1 Product Round-up
Graph Explorer, an upgraded Playground, and a practical Cookbook—giving developers more control, better graph quality, and improved usability.
🎉 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
We introduce Zep, a novel memory layer service for AI agents that outperforms the current state-of-the-art systems.
December 2024 Round-up
Explore User and Group Graphs, Fact Ratings, and SOC 2 Type 2 Certification!
How do you search a Knowledge Graph?
Can you build graph search that's both elegant & powerful? Here's how we did it in Graphiti, Zep's open source temporal Knowledge Graph library.
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.
Announcing: Zep Community Edition
Zep Community Edition, open-sourced today, is the first Zep product powered by a Knowledge Graph, allowing you to build more accurate and personalized Agents.
Scaling LLM Data Extraction: Challenges, Design decisions, and Solutions
How we made building Knowledge Graphs faster and more dynamic
Graphiti: Temporal Knowledge Graphs for Agentic Apps
Graphiti builds dynamic, temporally aware knowledge graphs that represent complex, evolving relationships between entities over time.
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