Pieces vs Raycast
A side-by-side comparison of Pieces and Raycast, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Pieces | Raycast |
|---|---|---|
| Category (differs) | Memory | Assistant |
| Pricing | FREEMIUM | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment | Local | Local |
| Platforms (differs) | macOS, Windows, Linux, CLI, VS Code extension, Browser extension | macOS, Windows |
| Model support | Multi-model | Multi-model |
| Vendor (differs) | Pieces | Raycast |
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
Raycast
Bundles window mgmt, clipboard, snippets and model-switching AI natively — rivals need add-ons for what ships built-in.
- 1,500+ extension store
- Native window mgmt, clipboard, snippets
- Switch GPT/Claude/Llama from one bar
- Generous free tier
- Best AI features gated behind Pro
- Windows version still maturing (beta)
- Workflows less powerful than Alfred's