Honcho vs Supermemory
A side-by-side comparison of Honcho and Supermemory, two Memory tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Honcho | Supermemory |
|---|---|---|
| Category | Memory | Memory |
| Pricing | FREEMIUM | FREEMIUM |
| License | Open core | Open core |
| Deployment | Hybrid | Hybrid |
| Platforms (differs) | API, CLI | API, Web |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Plastic Labs | Supermemory |
| Capabilities (differs) |
|
|
The honest brief
Honcho
Peer-centric memory models what any party knows about another, extracting conclusions rather than raw chunks.
- Open-source memory infrastructure
- Peer model for human/agent/idea memory
- Reasoning-first, derives durable facts
- Strong long-memory benchmark scores
- Managed API or self-hosted FastAPI
- Young, evolving ecosystem
- Self-host stack (Postgres/Redis) to run
- Background inference adds LLM cost
- Smaller community than incumbents
Supermemory
MIT-licensed memory engine you self-host or call as a managed API — one recall endpoint across any model.
- MIT-licensed, self-host or managed
- Single recall API across any model
- Connectors: Drive, Gmail, Notion
- Ships MCP server and SDKs
- Younger project, evolving API
- Smaller track record than peers
- Self-hosting needs infra work
When to pick which
Across the signals we compare, Honcho and Supermemory differ on platforms:
- Platforms
- API, CLI · API, Web
Their capability lists differ in recorded depth — compare the full lists above before deciding.