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Loom 1.0.2 is a Go-based LLM agent framework released by Teradata that enables developers to assemble autonomous large-language-model threads through plain English instructions rather than manual code orchestration. At its core sits the Weaver meta-agent, which interprets natural-language descriptions and instantly generates ready-to-run agents, eliminating the traditional scaffolding burden. Once spawned, agents can be arranged into six workflow patterns—sequential, parallel, routing, map-reduce, feedback-loop, and human-in-the-loop—letting teams model complex business processes such as multi-step research, content supply chains, or real-time decision pipelines without rewiring logic. The distribution ships with a curated catalog of over ninety reusable patterns covering sixteen domains like finance, healthcare, DevOps, and customer support, accelerating adoption by providing drop-in templates for common tasks. Out-of-the-box integrations with eight leading LLM providers, including Anthropic, Amazon Bedrock, and OpenAI, allow workloads to be shifted to the most cost-effective or capable model at runtime, while native vision and document-parsing capabilities extend automation to images, PDFs, and Office files. A built-in judge subsystem, powered by DSPy, continuously scores agent outputs, triggers self-correction loops, and even proposes new patterns, letting the framework become more accurate as it operates. Real-time streaming and full observability expose every thought, tool call, and token consumed, giving operators the transparency required for enterprise audits. Taken together, Loom serves the burgeoning AI/ML Development Tools category, targeting data engineers, prompt engineers, and product teams that need repeatable, governable agent fleets rather than one-off prompts. The software is available for free on get.nero.com, with downloads provided via trusted Windows package sources (e.g. winget), always delivering the latest version, and supporting batch installation of multiple applications.
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