Features
Declarative pipeline DAGs via Python decorators
Pluggable stack architecture (orchestrator, artifact store, container registry)
Automatic artifact versioning and lineage tracking
Built-in model registry with versioning and promotion
Smart caching to skip unchanged steps across runs
Distributed execution on Kubernetes, Vertex AI, SageMaker, AzureML
Kitaru agent runtime: durable execution with checkpoints and replay
Snapshots for capturing and reproducing full pipeline states
Codespaces for remote IDE execution on Pro plans
Integrated experiment tracking (MLflow, Weights & Biases, Neptune, Comet)
Role-based access control (RBAC) on Enterprise
Audit logs for compliance on Enterprise
Wait/resume for human-in-the-loop agent workflows
Dashboard, API, schedules, webhooks for triggers (Pro)
SOC2 and ISO 27001 compliance
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
