Editorial take
Why it stands out
Zep should be framed as memory and context infrastructure. The credit model and enterprise deployment choices matter as much as the memory story itself.
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Tool profile
Context engineering and agent memory platform for storing, assembling, and retrieving conversational and application context for production AI agents.
Agent memory
Zep belongs in the database because it is more than a generic memory add-on for chatbots. The official product positioning is centered on agent memory, GraphRAG, agent context, and context engineering for production AI systems. That makes it a serious infrastructure choice for teams that need durable memory and retrieval around ongoing conversations and business data, not just another thin wrapper around vector search.
It also deserves inclusion because the pricing is public and operationally meaningful. The official pricing page currently offers a free starting path, Flex at $25 per month, Flex Plus at $475 per month, and enterprise deployment options, while also explaining the credit model, auto-topups, request rates, and what an Episode costs. That is exactly the kind of pricing clarity a premium tools database should preserve.
Quick fit
Editorial take
Zep should be framed as memory and context infrastructure. The credit model and enterprise deployment choices matter as much as the memory story itself.
What it does well
Primary use cases
Fit notes
Compare with
Pressure-test this pick against nearby alternatives.
Pricing snapshot
Zep currently offers a free starting tier, Flex at $25 per month with 20,000 credits included, Flex Plus at $475 per month with 300,000 credits included, and enterprise pricing for larger deployments.
AgentOps
Free planAgent observability
Observability for AI agents with tracing, debugging, session visibility, and production monitoring.
Closer to agent observability than to model hosting or prompt tooling
