Pieces vs Supermemory
A side-by-side comparison of Pieces and Supermemory, two Memory tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Pieces | Supermemory |
|---|---|---|
| Category | Memory | Memory |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Proprietary | Open core |
| Deployment (differs) | Local | Hybrid |
| Platforms (differs) | macOS, Windows, Linux, CLI, VS Code extension, Browser extension | API, Web |
| Model support (differs) | Multi-model | Model-agnostic |
| Vendor (differs) | Pieces | Supermemory |
| Capabilities (differs) |
|
|
The honest brief
Pieces
Captures a rolling ~9-month work timeline on-device and air-gapped by default, so memory questions never leave your machine.
- Captures context across all your apps
- Long-Term Memory of work context
- Cloud or local LLMs, or BYO key
- Plugs into VS Code, JetBrains, browser
- Background capture is resource-heavy
- Developer-centric, niche audience
- Memory accuracy varies across apps
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, Pieces and Supermemory differ on license, deployment, and platforms:
- License
- Proprietary · Open core
- Deployment
- Local · Hybrid
- Platforms
- macOS, Windows, Linux, CLI, VS Code extension, Browser extension · API, Web
Their capability lists differ in recorded depth — compare the full lists above before deciding.