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Endigest AI Core Summary
Kasal is a UI-first agentic AI platform built on CrewAI and Databricks that enables users of all skill levels to design, run, and observe multi-agent workflows visually.
•Users can drag and drop agents on a visual canvas or describe workflows via a conversational assistant, which auto-generates the orchestration plan
•Built natively on Databricks, it integrates MLflow for tracing, Vector Search for memory, Lakebase for logging, and supports OBO authentication
•Supports MCP servers, Genie spaces, Agent Bricks, custom APIs, and data connectors as extensible tools
•Generated workflows can be exported as Python code or notebooks for deeper customization by AI engineers
•Use cases include data analysis pipelines, content generation, business process automation, and R&D research agents
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Google Cloud
Databricks
Stripe