An orchestration platform for the development, production, and observation of data assets.
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
Construct Apache Airflow DAGs Declaratively via YAML configuration files
Run your dbt Core or dbt Fusion projects as Apache Airflow DAGs and Task Groups with a few lines of code
Persistent multi-model workflow teams for DeepSeek Harness β dynamic lead planning, bounded DAGs, per-agent model/tools, Run Center and Token insights.
Autonomous experiment-pipeline orchestrator: versioned research-plan DSL with dependency DAGs, deterministic checkpoint/resumable executor, tamper-evident provenance ledger, UCB1/Thompson schedulers with measured regret against synthetic oracles, ablation bookkeeping, offline report synthesis. NumPy core, CPU-only torch extra.
Visual AI workflow orchestrator for DeepSeek Harness (dsh): multi-agent DAGs, live execution, recovery, and Feishu integration.
36 data-engineering skills for AI coding agents β dbt, Airflow, Dagster, Prefect, Spark, Snowflake, BigQuery, Databricks, Kafka, Iceberg. Portable SKILL.md Agent Skills (the format Anthropic launched as Claude Skills), with idempotency, backfill, and data-quality know-how. Runs in Claude Code, Cursor, Codex, Copilot, Gemini CLI and more.