Developer Experience First

For Developers

Deploy personalized agents that understand user preferences and business context. Three lines of code to production.

Context Engineering

What is Context Engineering?

Context Engineering assembles relevant information around an LLM for reliable task completion. Unlike basic prompting, it dynamically integrates user preferences, conversation history, and business data.

Agents often fail due to missing personalized context. Zep solves this by automatically creating temporal knowledge graphs to organize and retrieve context for each interaction through Agent Memory, Graph RAG, and automated context assembly.

APPLICATION & INTERFACE
AGENT FRAMEWORK
CONTEXT ENGINEERING
ZEP CAPABILITIES
Context Orchestration
Agent Memory
Graph RAG
Search Tools
Prompt Construction
Tool Integration
LLM

Three Lines of Code to Production

Skip building complex infrastructure. Add personalized context to your agents in minutes.

User memory with three lines of code
Ingest business data as JSON, text, or messages
Works with LangChain, LangGraph, and popular frameworks
example.py
# Add conversation to memory
zep.memory.add(session_id, messages)

# Get relevant context
memory = zep.memory.get(session_id)
context = memory.context

Built for Developer Experience

Production-ready tools and comprehensive documentation to get you building personalized agents fast.

SDKs & APIs

User memory with three lines of code
Ingest business data with Graph RAG as JSON, text, or messages
Works with LangChain, LangGraph, and popular frameworks
Python & TypeScript SDKs with automated context assembly
View SDK Docs

Documentation

100%+ accuracy improvements through personalized memory and context
90% latency reduction with 98% token efficiency
Days vs. months implementation time
Enterprise compliance (SOC2 Type 2, HIPAA)
View Proof Points

Popular Integration Patterns

Real-world examples of how developers integrate Zep into their applications and workflows.

LangGraph Integration

Use Zep as an agentic tool to search for facts in user graphs within LangGraph workflows.

View Guide

Autogen Memory

Enhanced memory capabilities for Autogen multi-agent applications with persistent context.

View Guide

Chainlit Integration

Build conversational AI applications with memory and context using Chainlit frameworks.

View Guide

Trusted by Industry Leaders

See how teams are transforming their AI applications with Zep

Zep is one of the most exciting things I've seen for real-world agent use cases in a long time. Their innovative approach is truly game-changing.
Ken Collins
Ken Collins
VP of Product, Torq and GenAI Expert
Zep just introduced a game-changing way for AI agents to remember and learn. Unlike other systems that only retrieve static documents, Zep uses a temporal knowledge graph to combine conversations and structured business data, keeping track of how things change over time.
Lior Sinclair
Lior Sinclair
Founder/CEO, AlphaSignal
Zep AI was instrumental in enabling the Sidekick's personalized experience through dynamic memory retrieval. Their innovative tech stack is powering groundbreaking projects like ArtPrize 2024, taking personalized AI experiences to the next level.
Mark Losey
Mark Losey
CTO at Flockx
Zep AI empowers AI systems to think and remember like humans. By organizing memories into structured episodes and extracting key insights, it builds smarter, more intuitive AI agents that revolutionize how businesses harness intelligence.
Vijay Morampudi
Vijay Morampudi
Senior Director - AI CoE, Axtria
Zep is one of the most exciting things I've seen for real-world agent use cases in a long time. Their innovative approach is truly game-changing.
Ken Collins
Ken Collins
VP of Product, Torq and GenAI Expert
Zep just introduced a game-changing way for AI agents to remember and learn. Unlike other systems that only retrieve static documents, Zep uses a temporal knowledge graph to combine conversations and structured business data, keeping track of how things change over time.
Lior Sinclair
Lior Sinclair
Founder/CEO, AlphaSignal
Zep AI was instrumental in enabling the Sidekick's personalized experience through dynamic memory retrieval. Their innovative tech stack is powering groundbreaking projects like ArtPrize 2024, taking personalized AI experiences to the next level.
Mark Losey
Mark Losey
CTO at Flockx
Zep AI empowers AI systems to think and remember like humans. By organizing memories into structured episodes and extracting key insights, it builds smarter, more intuitive AI agents that revolutionize how businesses harness intelligence.
Vijay Morampudi
Vijay Morampudi
Senior Director - AI CoE, Axtria