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AI TOOLDeveloper · Low Entropy Group

AirJelly is a proactive AI assistant for desktop workflows that organizes on-screen context within authorized limits, generating activity timelines, memories, tasks, and daily reports, while providing additional context to workflows like Codex and Claude Code.

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What is AirJelly?

AirJelly organizes information around work contexts scattered across different applications. With proper authorization, it can capture desktop activity and build a searchable work timeline, linking items from conversations, meetings, and messages to help users review what has happened, their to-dos, and leads that require follow-up.

Key features include activity logs, memory-based Q&A, task extraction, daily summaries, and proactive reminders. The official website also demonstrates how context is fed to Codex and Claude Code, along with examples such as organizing meeting notes into tasks with source citations, supporting multi‑application collaboration for product operations, engineering, managers, and researchers.

Official support is provided for Apple Silicon Macs and Windows x64 computers, with the note that screenshot encryption is stored locally, and you can pause capturing at any time or exclude specific applications. Local screenshot storage does not mean that all model processing is entirely offline; before enabling this feature, review the privacy and terms of service to clarify the scope of data collection, and verify the timing, sources, and execution requirements of automated extraction tasks.

Key features

  • Contextual organization: Desktop activities within the scope of associated authorization.

  • Work Review: Activity Timeline, Memories, and Daily Summary.

  • Task Follow-up: Task Extraction, Due Date Reminders, and Reports.

  • Capture Control: Pause recording and exclude specified applications.

Use cases and audience

Professionals in product, operations, engineering, research, and management who juggle tasks across multiple applications and need to review context and follow up on action items.

  • Review cross-app workflows and compile the day’s summary.
  • Retrieve the task basis from the communication records.
  • Provide relevant work context for the development assistant.
Input

Desktop context, work activities, and queries authorized by the user.

Output

Event timelines, memory retrieval results, tasks, daily reports, and reminders.

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