Google DeepMind expands AI safety partnership with SingaporeAnthropic finds over 10,000 vulnerabilities with Project GlasswingSynthID expands to Google Search and ChromeAnthropic updates vuln disclosure dashboardGoal mode now available across all Codex platformsCodex Thursday adds remote Mac controlAnthropic shares early Glasswing resultsAnthropic publishes early Project Glasswing resultsReleases new science-focused AI skills toolGemini 3.5 Flash released with enhanced research toolsGoogle ships ADK for Android/Kotlin v0.1.0Google launches ADK for Kotlin and Android 0.1.0Google expands Gemini for Home for developersGemini 3.5 Flash officially launchedAI solves long-standing open math problem for first timeGoogle announces Gemini Omni for video creationUse multiple agents with Gemini OmniOpenAI Introduces Guaranteed Capacity for Long-Term ComputeGemini for Science assists with research tasksSynthID watermark and verification tool added to AI imagesGoogle DeepMind expands AI safety partnership with SingaporeAnthropic finds over 10,000 vulnerabilities with Project GlasswingSynthID expands to Google Search and ChromeAnthropic updates vuln disclosure dashboardGoal mode now available across all Codex platformsCodex Thursday adds remote Mac controlAnthropic shares early Glasswing resultsAnthropic publishes early Project Glasswing resultsReleases new science-focused AI skills toolGemini 3.5 Flash released with enhanced research toolsGoogle ships ADK for Android/Kotlin v0.1.0Google launches ADK for Kotlin and Android 0.1.0Google expands Gemini for Home for developersGemini 3.5 Flash officially launchedAI solves long-standing open math problem for first timeGoogle announces Gemini Omni for video creationUse multiple agents with Gemini OmniOpenAI Introduces Guaranteed Capacity for Long-Term ComputeGemini for Science assists with research tasksSynthID watermark and verification tool added to AI images
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OpenAI00:00Guides & TipsOfficial Blog

Tips for long‑running agents: Skills & Shell

It helps you design agents that stay on track over many steps.

Key Points

  • 1Skills reuse procedures for consistency
  • 2Shell enables dependency installs and execution
  • 3Compaction preserves context in long runs
  • 4Shares practical pitfalls and mitigations

OpenAI published a developer post on building long‑running agents. It covers reusable Skills, an executable Shell environment, and Compaction to preserve context efficiently. The goal is more reliable multi‑step work in production. It requires understanding the Responses API stack.

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