Give your LLM app long-term memory

Zep is a purpose-built memory service for LLM apps and agents. Instead of stuffing the whole conversation into the prompt, you store facts in a graph and retrieve only what's relevant — faster, cheaper, and more accurate. It's the 'memory' behind production chatbots.

Who it's for: Developers shipping chatbots, agents, and copilots that need to recall user context.

Key features

Graph memory Facts, not blobs

Facts are extracted and stored as a knowledge graph for precise retrieval.

Auto extraction Zero-shot

Zep's LLM extracts entities and relationships from conversation automatically.

Fast retrieval Millisecond recall

Optimized stores return relevant memory in milliseconds, not seconds.

Open source Self-hostable

Deploy on your own infra; your data never leaves your account.

The honest take

✓ What works

Makes agent memory actually work in production
Graph approach beats naive RAG for facts
Open source + self-hostable
Solid docs and SDKs
Free tier for prototyping

✗ What doesn't

Adds an infra dependency to manage
Best value shows at scale, not toy apps
Smaller community than LangChain
Needs LLM calls for extraction (cost)

Verdict

If you're building an agent that needs to 'remember' users across sessions, Zep is one of the most production-ready memory layers available. Start free, self-host, and scale as your user base grows.

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