Hyperspell vs Zep
Updated March 10, 2026
Overview
Automatic memory for AI agents - indexes connected data sources into a memory layer for personalized context.
Zep is a long-term memory service for AI assistants and agents. It stores conversation history, extracts facts and entities, builds temporal knowledge graphs, and enables semantic search across past interactions. Zep helps AI applications recall relevant context from previous conversations, making chatbots and agents feel more natural and personalized. Available as open-source and cloud-hosted.
Key features
Core capabilities each platform advertises.
- Agent memory
- Data indexing
- Context enrichment
- Memory infrastructure for AI assistants
- Dialog classification and extraction
- Integration with LangChain and LlamaIndex
- Structured and unstructured memory storage
- Memory search with temporal awareness
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Production-ready platform
- Good performance
- Active development
- Strong features
Cons
- Enterprise pricing varies
- Setup complexity
- Learning curve required
Pros
- AI memory purpose-built
- 100k free messages
- Self-hosted option
Cons
- Message limits
- Scaling costs
Hyperspell or Zep — which should you choose?
Choose Hyperspell if you wantChoose if you want
Choose Zep if you wantChoose if you want
- Enterprise AI assistants with memory
- Customer service bots that remember past issues
- Personalized recommendation agents
- Multi-turn conversation management
- Context-aware AI applications
Compare Hyperspell and Zep on your own traffic
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.