Features
Log multimodal, multi-rate data with Python, C++, or Rust SDK
Interactive viewer with 2D, 3D, map, graph, and tensor views
SQL and dataframe queries over recordings and catalog
Transform data with derived columns and schema evolution
Train directly via PyTorch dataloader from .rrd files or Hub streams
Store data as column-chunks in .rrd files for efficiency
Declarative visualization framework with blueprint defaults and overrides
Byte-range indexing and retrieval from object storage (Hub)
Team collaboration with shared recordings and link sharing (Hub)
Open source SDK under Apache-2.0/MIT license
Web viewer for browser-based visualization
Layers and local catalog for organizing recordings
Support for time-series, 3D, and tensor data modalities
Data Agent for data analysis with Python/SQL execution
Plugins Agent integrating 200+ third-party plugins
Web Agent for autonomous web browsing via Chrome extension
Auto plugin selection by the agent
Combined plugin usage for multi-step tasks
Chat-based web UI optimized for swift responses
Open-source full-stack code (backend + frontend)
Local deployment via Docker
Free online demo on OpenAgents website
Data visualization using Python libraries
Integration with 200+ plugins including Klarna, XWeather, Wolfram Alpha
Lemur foundation models for language agents (open-source)
Real-world evaluation and research support
Troubleshooting support via Discord
COLM 2024 publication with paper available
