Agent actions that aren't on your allowlist or can't be sandboxed go to a classifier subagent. This separate agent decides whether to allow the tool call, try a different approach, or ask you for approval. Learn more:
AGENTS
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Cursor Auto-Review Mode Enables Safer Agent Tool Execution
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Auto-review mode is now available in Cursor.
— Cursor (@cursor_ai) 29 mai 2026
It allows agents to run tool calls with fewer approval prompts and safer execution. pic.twitter.com/GZQX89mgmqAuto-review mode is now available in Cursor. It allows agents to run tool calls with fewer approval prompts and safer execution.
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SambaNova self-evolving agents and SambaCloud playground
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Ready to test it for yourself? All the resources you need are here: – SambaNova announcement: https://
sambanova.ai/blog/build-sel
f-evolving-agents-on-sambacloud-with-minimax-2.7
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– SambaCloud Playground: https://
cloud.sambanova.ai/playground -
SambaCloud Delivers 435 TPS for MiniMax M2.7 in Multi-Agent Setups
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When you run multi-agent frameworks like @OpenClaw
, you know the output speed is critical. As the chart below shows, SambaCloud serves MiniMax M2.7 at a MASSIVE 435 output tokens per second, more than 3x faster than the nearest competitor (Fireworks at 127 t/s). Combine that -
Salesforce: Claude Code Agents Cut Migration Time 95%
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Salesforce published a detailed writeup on going agentic with Claude Code. A couple things jumped out. A migration they'd scoped at 231 days shipped in 13. One PR delivered 21 endpoints at 100% test coverage.
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AI Agents Improve Code Quality Without Sacrificing Productivity
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Quality went up alongside output. Even with more PRs shipping, total incidents dropped 5%. They built security guardrails and quality standards into the agentic workflow itself. Productivity vs quality is sometimes framed as a tradeoff. They're not seeing it.
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AI Agents Transform Workflows and Organizational Structure
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The teams seeing the biggest wins from AI are completely changing how they work, not speeding up what they already do. What steps can you delete, what handoffs go away, what can an agent just own end to end. Great to see Salesforce go this deep. Shoutout to Srini, @Benioff &
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AI Agent Memory Management and Data Structure Integration
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好问题，这两个点很关键，安装本身不会改写原有 agent 的本地记忆文件；如果发现可导入的历史记忆，会先扫描并征得确认，再进入 EverMe 的结构化抽取/归类流程。 验证上，可以用一条已知历史事实跨 agent/session recall，并在 Memory Hub 里反查 source。如果未来停用，影响的是 EverMe
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AgentDoG 1.5: AI Agent Safety and Alignment Framework
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AgentDoG 1.5 A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security