Zep AI GTM brain

category

market profile

• text: Production agents need current context across conversations, documents and business systems, not just the latest prompt.
• text: Enterprise deployments must balance agent access with retention, auditability and deployment boundaries.

personas

• title: AI platform engineering lead
  pains:

  • Maintaining user and business context across sessions and changing sources
  • Shipping low-latency retrieval without operating a custom memory stack
• title: Enterprise security or AI governance lead
  pains:

  • Preventing agents from reading context outside their permissions
  • Demonstrating access logs, retention controls and acceptable deployment boundaries
• title: AI product leader
  pains:

  • Agents repeat mistakes and lack account history
  • Proving agent task completion while controlling inference costs

icp

• text: Enterprises and venture-backed software teams deploying agents across customer or internal workflows; Zep lists customers from startups through Fortune 500 firms.
• text: Regulated healthcare, finance and legal agent builders needing isolated customer data and access controls.

message pillars

• text: Unify business context for agents at runtime.
• text: Improve task performance from agent runs.
• text: Put access policies and logging into infrastructure.

objections

• objection: We can build memory with a database and embeddings ourselves.
  response: Compare the engineering burden of temporal updates, access policies, connectors and logging with a managed context layer.
• objection: Our data cannot leave our cloud boundary.
  response: Discuss the enterprise VPC deployment option and validate its fit with security requirements.
• objection: Usage cost will be unpredictable.
  response: Estimate episode volume and size using the published credit schedule before committing.

competitors

• name: Mem0
  why: Agent memory platform for personalization and cross-session context.
• name: Letta
  why: Agent platform with persistent memory for long-running agents.
• name: Cognee
  website: https://www.cognee.ai/zep-alternatives
  why: Knowledge graph and memory tooling for AI agents.

keywords

• AI agent memory
• enterprise context layer
• temporal knowledge graph
• agent context management
• GraphRAG
• agent memory API
• AI agent governance

voice

• technical and infrastructure focused
• confident and practical
• enterprise governance oriented

signals

• text: Hiring engineers for agent memory, retrieval or context infrastructure suggests a near-term build-versus-buy evaluation.
• text: Launching agents that need shared customer history across CRM, support and billing systems creates a clear context integration need.

stack

• LangGraph
• Google ADK
• Microsoft Agent Framework
• Slack
• Google Drive
• Snowflake
• Databricks
• BigQuery

hiring

• Member of Technical Staff: Research

pricing

motion

channels

• open source
• developer documentation
• SEO
• LinkedIn
• sales demos

confidence

Founders

• name: Daniel Chalef
  title: Founder/CEO
  role: CEO
  bio: Founder, Zep AI. Engineer turned startup founder (previously KnowledgeTree) and late-stage operator (SparkPost acquired MessageBird), with detours as a Data Science, Marketing, and Corp Dev guy. Still an engineer at heart and have a soft spot for Go.