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Google Open-Sources Harness2, a Recursive Agent Harnessing Framework
Model Release

Google Open-Sources Harness2, a Recursive Agent Harnessing Framework

Google Research has open-sourced Harness2, a recursive agent harnessing framework under the Apache-2.0 license. The framework rewrites an agent's harness at…

CodingAgents & automation
#Google#Harness2#agents#open-source#framework#AI Agents#Released

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🤖 AI/ML Daily Signal — Morning Edition 17 Oct 2026 · 07:04 UTC ──────────────────────────────── 🔥 1. Building trust in AI agents: A production-ready evaluation framework with Amazon Bedrock AgentCore 🛠️ AWS Machine Learning Blog · Score: 9/10 AWS Bedrock AgentCore introduces a nine-stage evaluation framework that catches quality degradation in autonomous agents without requiring model or environment changes. This directly addresses the operational challenge of semantic drift causing silent failures in production agentic systems. Read more → 🔥 2. Google EnvHarness Enables Self-Evolving Agents to Learn in Dynamics Environments 🏭 InfoQ AI/ML · Score: 9/10 Google's open-source EnvHarness framework enables self-evolving agents by dynamically adapting training environments to agent weaknesses while keeping the agent, environment, and evaluation system unchanged. This provides a practical mechanism for continuous agent improvement in production. Read more → ⭐ 3. Introducing Reflection Beam: an open-weight model for agentic coding on AWS 🛠️ AWS Machine Learning Blog · Score: 8/10 Reflection AI's Beam is an open-weight model optimized for agentic coding and long-horizon tasks with deploymen

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