Connect agents to private data, retrieval systems, and tools with a broad framework for context-aware applications.
Knowledge & RAG
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Knowledge & RAG
Wren A I
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
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Data-connected agents and retrieval workflows
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4 releases
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Original notes, ready to explore. Open a release to see what changed.
Wren A Iwren-core-py: v0.8.0
From the release notes
0.8.0 (2026-09-10) Features core: support ordered cube queries (#2677) (8d23753)
Wren A Iwren-core-base: v0.4.0
From the release notes
0.4.0 (2026-09-09) Miscellaneous Chores wren-core-base: Synchronize wren-rust-core versions
Wren A Iwren-semantic-core: v0.4.0
From the release notes
0.4.0 (2026-09-09) Features core: support ordered cube queries (#2677) (8d23753) Bug Fixes core: reject collapsed relationship joins (#2697) (4000bea)
Wren A Iwren-manifest-macro: v0.4.0
From the release notes
0.4.0 (2026-09-09) Miscellaneous Chores wren-manifest-macro: Synchronize wren-rust-core versions
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There’s more where that came from.
Design production-ready pipelines and agents for search, retrieval-augmented generation, and question answering.
Knowledge & RAGAn open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
Knowledge & RAG