Jack Ryan
Coding agents can design your Zep implementation
Zep now ships one plugin for Claude Code, Codex, and Cursor. It gives your coding agent the Zep documentation MCP server and the new building-with-zep skill, which encodes how to design and evaluate an agent memory implementation around the use case you need to deliver.
Securing Agent Memory with ABAC
Attach policies to any Zep API key to control the exact endpoints it can call and the graph data it can read.
Agent memory placement can cut your token bill up to 2x
Agent memory has to refresh every turn, but putting it in the system prompt breaks prompt caching and re-bills the whole conversation each turn. Here is the one-message fix, and the token savings it led to in an experiment.
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.
Smart Context Assembly: Fewer Tokens, Better Quality
Today we're announcing Smart Context Assembly, an upgrade to how Zep's default Context Block is built: higher accuracy from fewer tokens, with no code changes.
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.
Zep's 5 Context Types: How to Use and Combine Each One
Zep produces five distinct types of context from a user's graph. Each captures something different. Here's when to reach for each, and how to combine them in one prompt.
Context You Can Trace, Filter, and Trust
Every fact in your agent's context graph came from somewhere. Zep's provenance architecture traces facts back to their source data — and lets you filter retrieval by origin.
Stop Letting Your Agent Decide What It Needs to Know
Your agent has the tools. It just doesn't call them — and smarter models won't fix that. Here's why the unknown unknowns problem is the hardest challenge in agent context, and what to do about it.
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.
Evaluation and Control: Evaluation Framework, zepctl CLI, and Dashboard Overhaul
An evaluation framework for testing Zep against your data, a redesigned dashboard with analytics, and zepctl — a CLI for administering Zep projects.
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.
Context Templates: Context Engineering Made Simple
You're tuning an agent. Retrieve too little context and it hallucinates.
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.
Building Voice Agents with Memory: Zep x LiveKit
Create personalized voice agents with long-term memory with minimal added latency
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.
Zep v3: Context Engineering Takes Center Stage
Context engineering > prompt engineering: Zep v3 assembles memory & business data for agents that work.
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.
Zep Q1 Product Round-up
Graph Explorer, an upgraded Playground, and a practical Cookbook—giving developers more control, better graph quality, and improved usability.
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.
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