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<rss version="2.0"><channel><title>Google Open-Sources Harness2, a Recursive Agent Harnessing Framework — Live Feed</title><link>https://www.live-feeds.com/feed/google-open-sources-harness2-a-recursive-agent-harnessing-framework</link><atom:link xmlns:atom="http://www.w3.org/2005/Atom" href="https://www.live-feeds.com/feed/google-open-sources-harness2-a-recursive-agent-harnessing-framework/rss.xml" rel="self" type="application/rss+xml"/><description>Continuously updated, source-cited coverage.</description>
<item><title>Google Open-Sources Harness2 Framework for Self-Improving AI</title><link>https://www.live-feeds.com/feed/google-open-sources-harness2-a-recursive-agent-harnessing-framework</link><guid isPermaLink="false">https://www.live-feeds.com/feed/google-open-sources-harness2-a-recursive-agent-harnessing-framework#u146366</guid><pubDate>Thu, 22 Oct 2026 09:42:09 +0000</pubDate><description>Google has open-sourced Harness2, a recursive agent harnessing framework designed to enable self-evolving AI agents. The framework allows large language model agents to improve themselves by refining their own prompts, tools, and memory without requiring verifiers or retraining the underlying models. Additionally, Google and Carnegie Mellon have unveiled the Harmony Harness for evolving AI agents, while Google also introduced EnvHarness to empower self-evolving agents to learn in dynamic environments. These tools aim to power the agent development lifecycle across various frameworks.Why it mat</description></item>
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