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Enterprises often struggle with fragile glue scripts across separate DevOps and data stacks. A cross-functional, declarative orchestrator simplifies compliance, governance, and visibility while streamlining AI application delivery.
By targeting data engineers, infrastructure teams, and AI developers simultaneously, Kestra seeks to replace fragmented workflow engines with a single declarative standard. The focus on YAML definitions makes it accessible to diverse roles while maintaining GitOps compatibility. The upcoming architectural overhaul in version 2.0 underlines its push toward deeper modularity in enterprise setups.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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Repository:kestra-io/kestra
Kestra is an open-source, Java-based orchestration platform released under the Apache 2.0 licence. It unifies scheduled and event-driven automation for data engineering, AI agents, and infrastructure pipelines.
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Article:Anna Geller
Kestra has launched AI Agents in version 1.0, enabling dynamic workflow execution. Instead of strictly hardcoded task sequences, autonomous processes use LLMs, persistent memory, and tools to decide actions on the fly.
Article:Benoit Pimpaud
The orchestration platform Kestra has released version 1.1, featuring multi-agent AI orchestration, a no-code dashboard builder, human approval tasks for Enterprise users, and enhanced triggers for files and emails.
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Link:deepset
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Link:Dify
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