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Documentation

Repository Markdown is the authored source for engineering guidance. The website is maintained and published separately from kumo-ai/docs. Keep one maintained explanation per topic and link to it from agent guidance.

Need Start here
Product and available source interfaces Repository overview
System topology and execution boundaries Architecture
Development prerequisites and setup side effects Setup
Local StateDB inspection and reset behavior SQLite
Run tests without cloud credentials Public tests
Choose a validation tier Testing
Regenerate derived files Generated artifacts
UI conventions and shared components UI development
Query and training review ML development
Review and PR requirements Review guide
Publish the kumo-engine wheel Releasing kumo-engine
Use a coding agent Agent setup
Deploy the application or inspect infrastructure examples Helm boundary and index
Cloud storage integration Storage contract
Maintain documentation Maintenance

Package documentation

Use the architecture map for package roles and these guides for their interfaces and development workflows.

Package Existing entry point
API schemas kumo-api
Service Python client kumo-sdk
In-process Python interface kumo-engine
Shared execution runtime kumo-core
Query language kumo-pql and existing instructions
UI component library catalog and existing component guide
Native graph engine DiskGraph; maintained directly in this repository
Source providers S3, GCS, ADLS, BigQuery, Databricks, Snowflake