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Sunday, August 16, 2026

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[Release] openclaw/openclaw pr-124528-profiles: PR #124528 Gateway profile evidence

steipeteAug 16, 2026

This release contains CPU profiles from a performance testing rig comparing Gateway behavior before and after PR #124528. The profiles were captured from a bounded three-node setup with twelve concurrent turns, focusing on event-loop hotspot analysis. The archive includes representative baseline profiles and exact-head post-PR profiles to enable performance comparison and validation of the changes.

  • CPU profiles captured from a three-node Gateway test rig with twelve concurrent turns
  • Includes both before (baseline) and after (exact-head) profiles for comparative analysis
  • Profiles focus on event-loop hotspot identification and performance bottlenecks
  • +4 more key points...
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Agent Development Kit ADK in Hindi # 10 ParallelAgent in Google ADK - Workflow Agents Explained

This video explores the ParallelAgent template in Google's Agent Development Kit (ADK), which enables concurrent execution of multiple tasks. ParallelAgents allow developers to build workflow agents that can process multiple operations simultaneously, improving efficiency and reducing execution time. The content covers the architecture, implementation patterns, and practical use cases for parallel task execution in agent-based systems.

Google Cloud & AI Insights

40%
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Chớp mắt 1 cái, 1.000 AI Agent đã xử lý xong việc! ⚡ Microsoft vừa ra mắt AutoGen 0.5 bằng Rust, tốc

Microsoft released AutoGen 0.5, a Rust-based rewrite of their AI agent framework that dramatically improves performance with 8x speed increases. This new version enables handling 1,000 AI agents simultaneously with significantly faster processing capabilities. The Rust implementation addresses performance bottlenecks in the original Python version, making it suitable for large-scale agent orchestration and deployment.

AI Cho Người Bận

37%
YT

Best AI Agent Framework in 2026: Top 3 Ranked

This content ranks the top 3 AI agent frameworks for Python teams deploying production agents in 2026, providing evidence-based comparisons to help teams choose the best framework for their needs. The ranking evaluates frameworks based on production-readiness, ease of use, community support, and scalability factors relevant to modern AI agent development.

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