GUIDE · SHARED MEMORY
Supermemory vs MemHub: which memory layer fits your team?
Compare Supermemory and MemHub for team AI memory, project-level access, local-first coding workflows, audit trails, and controlled self-hosting.
Head-to-head comparison
| Criterion | MemHub | Supermemory |
|---|---|---|
| Primary focus | Shared engineering memory | Managed universal memory API |
| Team boundary | Organization + project + member | Verify for your deployment |
| Offline workflow | Local outbox with later sync | Verify for your deployment |
| Deployment | Hosted or your PostgreSQL | Managed cloud platform |
| Auditability | Provenance, versions, admin audit trail | Verify plan and configuration |
The short answer
Supermemory centers on managed universal memory api. MemHub is purpose-built for engineering teams that need decisions, constraints, patterns, and bug fixes shared safely across people, repositories, and coding agents.
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.
When Supermemory may fit better
Choose Supermemory when its core focus—managed universal memory api—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.
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 Supermemory?
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 Supermemory'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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