GUIDE · SHARED MEMORY

Zep vs MemHub: which memory layer fits your team?

Compare Zep and MemHub for agent memory, temporal knowledge graphs, project-scoped team context, local-first sync, auditability, and self-hosting.

Head-to-head comparison

CriterionMemHubZep
Primary focusShared engineering memoryAgent memory and temporal knowledge graph
Team boundaryOrganization + project + memberVerify for your deployment
Offline workflowLocal outbox with later syncVerify for your deployment
DeploymentHosted or your PostgreSQLCloud platform and open components
AuditabilityProvenance, versions, admin audit trailVerify plan and configuration
01

The short answer

Zep centers on agent memory and temporal knowledge graph. MemHub is purpose-built for engineering teams that need decisions, constraints, patterns, and bug fixes shared safely across people, repositories, and coding agents.

02

Where MemHub is different

MemHub combines organization and project isolation, database-enforced row-level security, local-first writes, versioned provenance, a dashboard, and one MCP memory surface for major coding clients.

03

When Zep may fit better

Choose Zep when its core focus—agent memory and temporal knowledge graph—is the main job and its operating model matches your requirements. Choose MemHub when shared coding context, explicit project authorization, offline continuity, and team governance decide.

04

Run a fair pilot

Connect one non-critical repository to each candidate for a sprint. Measure repeated prompt tokens, time to recover a past decision, authorization across two projects, offline recovery, and audit evidence.

UNIVERSAL COMPATIBILITY

Plugs into any CLI, IDE, or AI coding agent.

If it speaks MCP or reads a JSON config, MemHub plugs in. One command wires your editors and terminals without friction.

  • Claude Code
  • Cursor
  • Windsurf
  • Cline
  • Codex CLI (GPT)
  • GitHub Copilot
  • Google Antigravity
  • Gemini CLI
  • Aider
  • OpenCode
  • CI bots via REST

Questions, answered straight.

Is MemHub a drop-in replacement for Zep?

Not necessarily. The products optimize for different jobs. Test required clients and migrate selected project knowledge through APIs rather than assuming identical data models.

How should we verify this comparison?

Check Zep's current documentation and plan limits, then run the pilot above. Capabilities and packaging change; deployment-dependent claims are marked for verification.

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