GUIDE · SHARED MEMORY
Letta vs MemHub: which memory layer fits your team?
Compare Letta and MemHub for persistent agent state versus shared engineering memory, multi-tenant controls, MCP clients, and local-first team workflows.
Head-to-head comparison
| Criterion | MemHub | Letta |
|---|---|---|
| Primary focus | Shared engineering memory | Stateful agents and agent runtime |
| 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 | Cloud and self-hosted runtime |
| Auditability | Provenance, versions, admin audit trail | Verify plan and configuration |
The short answer
Letta centers on stateful agents and agent runtime. 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 Letta may fit better
Choose Letta when its core focus—stateful agents and agent runtime—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 Letta?
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 Letta'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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