Summary

Zep combines a context graph with memory, enabling agents to retrieve and reason about historical data. With a context engine built, agents can efficiently access long-term business knowledge and user behavior logs without needing persistent database access. This architecture allows agents to build a rich knowledge foundation that supports complex tasks like legal or financial reasoning.

For engineering teams, developers can integrate Zep directly into their application code to create intelligent agents tailored to specific business workflows and data needs. The tool offers powerful APIs to manage complex retrieval and generation loops.

Enterprise customers can build custom agents using our platform for real-world scenarios like customer support automation or fraud detection. Zep's open-source nature means it can be adapted for specific industries or custom domain requirements.

Pricing is flexible, and our documentation covers the full stack from context construction to deployment. We also offer enterprise resource management services to support team scaling.

Title

Context Engineering & Agent Memory Platform for AI Agents - Zep

Description

Agents fail without the right context. Getting it right is hard. We fixed it. Goes beyond agent memory with unified knowledge graph, Graph RAG, and automated context assembly. Works with any framework. Three lines of code. 200ms retrieval.

Keywords

context, agents, graph, agent, data, business, shoes, knowledge, engineering, user, chat, retrieval, memory, facts, accuracy, time, present

NS Lookup

A 172.66.43.106, A 172.66.40.150

Dates

Created 2026-02-15

Updated 2026-02-15

Summarized 2026-03-22