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    <title>Strands Agents — USASI news</title>
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    <description>Dated, sourced news items in the USASI catalog that mention Strands Agents. Independent project. Not a United States government website.</description>
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    <lastBuildDate>Tue, 13 Oct 2026 12:00:00 GMT</lastBuildDate>
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      <title>AWS releases Strands Decider 2B, an open-source decision model, under Apache 2.0</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/aws-releases-strands-decider-2b/</link>
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      <pubDate>Sun, 04 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 1, 2026 the Strands team at AWS announced Strands Decider 2B, a 2-billion-parameter &quot;decision model&quot; that picks between supplied options or assigns a score with a confidence value instead of generating text. The announcement says the model starts from the Qwen3.5-2B model with its language-model head replaced by a small pointer head and the base fine-tuned with a LoRA adapter, and that it is meant for agent workflows such as those built with the Strands Harness SDK. The code, training data, and scripts are published on GitHub and the weights on Hugging Face; the repository and model card both list the Apache 2.0 license. AWS describes it as a Strands Labs project and says it is unsuited to text-generation tasks such as coding, chat, or summarization.</description>
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    <item>
      <title>Strands Agents releases Strands harness, an Apache 2.0 general-purpose agent harness</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/strands-agents-releases-strands-harness/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On September 21, 2026 the Strands Agents project released Strands harness, which it describes as a fully assembled agent harness that can run locally or be deployed to a chosen provider, built as a general-purpose agent rather than a coding agent. It is available under the Apache 2.0 license, is built on the Strands Harness SDK, and can be used from Python or TypeScript. The post says its default context management truncates tool results over about 1,500 tokens and compacts the context when the context window is more than 85 percent full, and that it runs on models from Amazon Bedrock, Anthropic, OpenAI, and Google as well as local Ollama models. USASI has not tested Strands harness.</description>
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