Data Sources allow Gather to fetch updates and summaries from the tools your team already uses. These Memories ensure that your team’s activity is not only captured but also contextualized within your Journals, making it easy to track progress and identify trends.

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Examples of Data Sources

  • GitHub: See commit activity, pull requests, and code review progress.
  • Linear: Summarize task creation, updates, and completion status.
  • Slack: Summarize activity in channels you want to keep an eye on.

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Why Use Data Sources in Gather?

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📊 Track Key Metrics Automatically

Gather pulls updates directly from your integrations, summarizing them into easy-to-digest Memories.

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🔄 Stay Informed Without Effort

With automatic updates, your team can focus on work while Gather ensures no important activity is missed.

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🧩 Create Contextual Connections

Data summaries are stored within relevant Journals, tying key metrics to your team’s discussions and decisions.

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Key Features of Data Sources

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⚙️ Easy Integrations

Connect popular tools like GitHub, Linear, or Jira with just a few clicks. Gather automatically starts summarizing activity.

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🧠 AI-Powered Summaries

Gather’s AI extracts the most relevant information from your tools, ensuring you get meaningful updates without being overwhelmed by raw data.

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📂 Linked to Journals

Every update from a Data Source is tied to the Journal it’s most relevant to, so your team can see metrics in the right context.

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🔍 Search and Retrieve Metrics

Easily search for specific activities, such as “GitHub commits from last week” or “open issues in Linear,” directly from your Gather workspace or via the Chat feature.

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