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timeOS

timeos.ai
Assistant Open Source

timeOS is an AI-powered meeting assistant and productivity tool designed to capture spoken conversations and instantly convert them into actionable workflows. Geared toward professionals, remote teams, and busy executives, the …

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timeos.ai Live
Visits
43
Listed since
May 20, 2026
Audience
Best for: Project Managers, Remote Engineering …
Pricing
Open Source

About timeOS

TL;DR

timeOS is an AI-powered meeting assistant and productivity tool designed to capture spoken conversations and instantly convert them into actionable workflows. Geared toward professionals, remote teams, and busy executives, the …

timeOS is an AI-powered meeting assistant and productivity tool designed to capture spoken conversations and instantly convert them into actionable workflows. Geared toward professionals, remote teams, and busy executives, the platform integrates directly into communication channels and calendar apps to automate the administrative overhead of meetings. By listening to discussions, timeOS extracts key decisions, assigns tasks, and generates structured summaries, ensuring that valuable insights are never lost. Users can sync these outputs with popular project management databases and task managers, bridging the gap between verbal collaboration and actual execution. This seamless integration helps eliminate manual note-taking and manual follow-ups, allowing teams to stay focused on the conversation itself. Ultimately, timeOS acts as a reliable digital memory, turning passive meeting audio into organized, trackable progress.

Use Cases

Real-world scenarios where timeOS saves time.

Use Case 1: Meeting Action Item Extraction

Problem: Teams spend valuable post-meeting time compiling notes and tasks manually.
Solution: Transcribes call discussions and extracts clear action items in real-time.
Example: A product manager receives a list of assigned tasks right after a sync.

Use Case 2: Automated Task Orchestration

Problem: Action items mentioned in conversations are frequently forgotten and lost.
Solution: Converts spoken cues into automated tasks inside connected workspaces.
Example: An engineer says, 'I will deploy the fix,' and the tool creates a Jira ticket.

Use Case 3: Centralized Meeting Knowledge

Problem: Tracking discussions across multiple projects and client calls is unorganized.
Solution: Organizes transcriptions, summaries, and tasks into designated project hubs.
Example: An agency owner keeps client call highlights neatly organized in client folders.

Key Features

What you get out of the box.

  • Live speech-to-task automation
  • Centralized collaborative project hubs
  • Automated multi-platform app updates
  • Real-time conversational context capture
  • Native macOS & Windows applications

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