Jarvis vs Pieces.

Is Jarvis (getjarvis.eu) or Pieces better for developers?

Pieces and Jarvis (getjarvis.eu) solve overlapping but different developer problems. Pieces is a developer-focused workflow tool that captures code snippets, screenshots, and links across your stack with on-device LLM support for snippet search and explanation — strongest for personal code knowledge management. Jarvis is a screen-aware desktop assistant: a floating bar opened with Cmd+/ on Mac or Ctrl+/ on Windows that connects via OAuth to GitHub, Linear, Slack, Notion, Gmail, and 25+ other apps. Jarvis routes per task across frontier models from Anthropic, OpenAI, and Google (voice uses OpenAI realtime) per task with persistent memory across sessions, GDPR-aligned with AES-256-GCM token encryption. For snippet capture and code memory: Pieces is the better pick alongside Continue.dev and Cursor. For cross-tool engineering workflows (PR reviews, ticket triage, release notes, Slack standups): Jarvis is the better choice. Most devs pair both. Scroll down for the full comparison.

Reviewed August 2026.

A focused comparison between Jarvis (getjarvis.eu) and Pieces.

The page explains the difference between a floating desktop assistant and the alternative AI workflow.

It covers the practical search questions buyers ask: screen context, memory, app connectors, operating-system support, daily workflow fit, and when the two products are better used together.

Developer memory and desktop assistant overlap. They are not the same.

Pieces is the best at dev-shaped memory: snippets, IDE context, code-aware retrieval. Jarvis is a broader assistant that captures context across every app and acts on it.

With Pieces alone

  • Long-term memory (LTM-2) with up to 9 months of workstream context
  • Snippet manager with one-click save and AI tagging
  • IDE plugins (VS Code, JetBrains) and browser extensions
  • On-device by default — local models via Ollama
  • MCP integrations with Cursor, Claude, Copilot, Goose
  • Built for developers and developer workflows

With Jarvis

  • cmd+/ from anywhere — every app, not just IDEs
  • Ambient memory across screen, chats, and apps
  • 30+ connectors so the assistant can act, not just recall
  • Voice mode and hold-to-dictate
  • Native macOS app control — Notes, Reminders, Calendar, Music
  • Designed for whole-day work, not just coding sessions
Jarvis vs Pieces — feature comparison
FeatureJarvisPieces (Pro)
Long-term memory across appsYes — Short-term decays, long-term persistsYes — LTM-2 up to 9 months of context
Code snippet manager with AI taggingNo — Not a snippet storeYes — Their core dev feature
Deep IDE plugins (VS Code, JetBrains)Partial — Reads the IDE on screen — not a pluginYes — First-class IDE integration
On-device / local modelsNo — Cloud assistantYes — Runs local via Ollama
Screen awareness across every appYesPartial — Workstream activity, mostly dev-shaped
Third-party connectors (Gmail, Slack, Notion, Linear…)Yes — 30+ connectorsPartial — MCP integrations, no first-party connectors
Acts in your apps (drafts, schedules, updates)YesNo — Recall and surface, not act
Voice mode and hold-to-dictateYesNo
Native OS app control (Notes, Calendar, Music…)YesNo
Memory import from ChatGPT / ClaudeYesNo
Priceinfo — Free 40 requests/week · Pro $16/mo · Unlimited $32/moinfo — Free plan · Pro $18.99/mo (or $14.17 annual)

Comparison