BetterDB vs Zep
Zep is the most sophisticated temporal-graph memory platform in the category. BetterDB trades the graph database for a single open Valkey, and adds semantic caching and typed retrieval that Zep does not ship.
What Zep is
Zep is an enterprise agent-memory platform built on Graphiti, its open-source bi-temporal knowledge-graph engine. Each fact is a triplet with validity windows, which makes Zep excellent at temporal reasoning and fact invalidation. The trade-offs: Graphiti self-hosting runs on a graph database (Neo4j, FalkorDB, or Neptune), the self-hosted Community Edition has been deprecated toward Zep Cloud, and Zep ships no LLM response cache.
BetterDB vs Zep, side by side
| BetterDB | Zep | |
|---|---|---|
| What it is | Memory + semantic cache + retrieval in one SDK | Temporal knowledge-graph memory platform |
| License | Open core, self-host first-class | Graphiti OSS; Cloud proprietary; CE deprecated |
| Datastore | One Valkey — self-hosted, your managed cloud, or managed by us | Graph DB — Neo4j / FalkorDB / Neptune |
| Memory model | Vector recall ranked by similarity, recency, importance | Bi-temporal knowledge graph with fact invalidation |
| Semantic LLM cache | Yes — exact + semantic, multi-tier | None |
| Ops footprint | A single lightweight Valkey | A graph database to run and tune |
| Languages | TypeScript + Python parity | Python (Graphiti); multi-language Cloud |
| Observability | OpenTelemetry + Prometheus at every layer | Enterprise governance focus |
Why teams pick BetterDB over Zep
No graph database to run
Memory, cache, and retrieval run on one lightweight Valkey — no Neo4j cluster to operate, tune, and pay for.
Caching Zep lacks
Semantic and multi-tier LLM caching ship in the same SDK as memory.
Self-host is first-class
Running BetterDB yourself is the default path, not a deprecated Community Edition pushing you to a managed cloud.
TypeScript + Python parity
Same API and features in both languages, where Zep's deepest features lean Python and Cloud.
Simpler when you do not need a graph
Scoped, ranked vector recall covers most personalization and recall workloads without graph complexity.
Where Zep is stronger
No tool wins everywhere. Here is where Zep is the better choice.
Temporal reasoning
Bi-temporal validity windows make Zep best-in-class at "what was true when" and superseded-fact handling.
Peer-reviewed architecture
A published paper and the strongest public LongMemEval and DMR numbers in the category.
Enterprise compliance
Mature SOC 2 Type II, HIPAA, and BYOC posture for regulated enterprise buyers.
A note on benchmarks: published memory-accuracy numbers across this category are rarely comparable. LongMemEval has small (S) and large (M) splits, and scores swing with the reader model, judge model, embedding model, and k. Our ~93% figure is recall (with hybrid rerank) on the larger LongMemEval-M split, which is a different metric and dataset from the QA-accuracy or J-scores vendors usually headline. We do not publish a head-to-head accuracy number against this product, because no apples-to-apples run exists.
Build your context layer on Valkey
Install the SDK and get agent memory, semantic caching, and retrieval in one library. Self-host on a Valkey you already run — or let us provision a managed Valkey with the search module, no setup required.