Bloom is an open-source, agent-centric video recording and processing platform designed as a modern alternative to tools like Loom, but with a strong emphasis on AI-driven workflows and programmability. It allows users to record sessions locally while simultaneously preparing those recordings to be processed, indexed, and analyzed by AI systems, effectively turning simple screen captures into structured, queryable data. The project is part of the broader VideoDB ecosystem, which focuses on giving AI agents perception and memory through video, enabling them to understand and act upon visual information. Bloom supports the concept of “agentic video,” where recordings are not just passive media files but interactive assets that can be searched, summarized, and transformed into workflows or insights. This makes it particularly useful for use cases such as debugging AI agents, documenting processes, training models, or creating automated video-based reports.

Features

  • Local recording system designed for privacy and developer control
  • Transforms recordings into AI-ready, searchable video data
  • Integration with agent workflows for automation and analysis
  • Supports indexing, summarization, and semantic video search
  • Part of a broader ecosystem for AI perception and memory
  • Extensible architecture for building custom video-driven applications

Project Samples

Project Activity

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Categories

Video Capture

License

MIT License

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Bloom Web Site

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

JavaScript

Related Categories

JavaScript Video Capture Software

Registered

3 days ago