Older posts
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.
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.
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
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