Labelbox provides data and simulated environments for training AI systems and deploying agents across business applications.
Zep
Zep unifies business data, documents and conversations into governed context for enterprise AI agents.

About Zep
Zep is a context layer for enterprise AI agents. It ingests business data, documents, and conversations, builds a Context Graph for each user, account, or domain, and retrieves the context a given task depends on. Dated facts are updated as source data changes, and each record keeps a link to its source.
Access and retention are handled in the data layer. Policies determine what context each agent can retrieve, every request is logged, and retention schedules and legal holds can be set. The homepage describes a Context Lake that runs on Konig, Zep's graph database service, and reports vendor benchmark results and a claim of up to 90% lower token use compared with tool calling that pulls whole records. These figures come from the vendor and have not been independently verified here. Pricing is not stated on the homepage; visitors are directed to request a demo.
Key features
- Ingests business data, documents, and conversations into shared context
- Builds a Context Graph for each user, account, or domain
- Dated facts updated as underlying source data changes
- Policy-filtered retrieval of task-relevant context in one call
- Attribute-based access control and configurable retention policies
- Audit and API logs of requests and access decisions
- Each record keeps a link to its source, and facts can be traced back to their origin.
- Policies control what context each agent can retrieve, and requests are logged.
- Retention schedules can be set, and legal hold can block deletion when required.
Zep at a glance
- Website
- getzep.com
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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