Zep's integration repo wires agents to temporal knowledge graphs

What it does Zep is a managed context-engineering platform that ingests chat history, business data, documents, and events to build a temporal knowledge graph. This repository houses example applications, integration packages, and utilities that demonstrate how to feed that assembled context into agent frameworks like LangChain, LlamaIndex, and AutoGen. It serves as the companion cookbook to the commercial Zep Cloud service.

The interesting bit The underlying engine, Graphiti, tracks valid_at and invalid_at timestamps on every fact, so agents can reason about how relationships and state change over time rather than treating knowledge as static. That temporal awareness is what Zep calls “relationship-aware retrieval”—context blocks that include not just facts, but how those facts have evolved.

Key highlights

• Pre-formatted context blocks optimized for your LLM, delivered with sub-200ms latency per the README
• Integration packages for major frameworks including AutoGen, with more examples in the repo
• Powered by Graphiti, an open-source temporal knowledge graph that autonomously extracts relationships
• SDKs available for Python, TypeScript/JavaScript, and Go
• SOC 2 Type 2 and HIPAA compliant managed service (Zep Cloud)

Caveats

• This repository is explicitly marked as a work in progress
• The open-source Community Edition has been deprecated and moved to a legacy/ folder; current development targets the managed Zep Cloud service
• The core knowledge-graph engine (Graphiti) lives in a separate repository, so this repo is primarily glue code and examples

Verdict Worth browsing if you are building agents with LangChain, LlamaIndex, or AutoGen and want to see how a temporal knowledge graph can assemble dynamic context. Skip it if you are looking for a self-hosted, fully open-source context platform; the active product is cloud-managed.