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记忆与上下文
筛选文章 记忆与上下文
记忆与上下文
第 2 页 · 12 / 36-
GitHub Agentic Autofix starts retaining repair experience GitHub Agentic Autofix reads and writes Copilot Memory. How security repair knowledge crosses agent workflows, and why verification, scope, and expiry matter.
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GitHub Agentic Autofix 开始积累修复记忆 GitHub Agentic Autofix 会读取并写入 Copilot Memory。本文拆解安全修复经验如何跨 Agent 复用,以及验证、范围和过期为什么重要。
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GPT-6 prompt caching becomes an agent state layer GPT-6 adds cache breakpoints, diagnostics, prewarming, and mutable configuration. Long-running agents need stable shared prefixes and cache-hit monitoring.
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GPT-6 Prompt Cache 变成了 Agent 的状态层 GPT-6 增加 cache breakpoint、诊断、预热和可变配置。长跑 Agent 需要主动保持共享前缀稳定,并监控缓存命中率。
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AI agent engineering reading list | 2026-09-22 Claude Opus 5.5 agent API compatibility, RRSI controls for harness overfitting, Harness-Zero behavior distillation, and Strands harness defaults.
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AI Agent 工程阅读清单|2026-09-22 本期收录 Claude Opus 5.5 的 Agent API 兼容变化、RRSI 的 Harness 过拟合控制、Harness-Zero 的行为蒸馏,以及 Strands harness 的默认策略。
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AI agent engineering reading list | 2026-09-18 to 09-20 OpenAI Agents SDK runtime-boundary fixes, stage-aware memory retrieval in AdaRepair-Mem, and static configuration checks with Agent Lint.
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AI Agent 工程阅读清单|2026-09-18 至 09-20 本期收录 OpenAI Agents SDK 运行时边界修复、AdaRepair-Mem 阶段化记忆检索,以及 Agent Lint 静态配置检查。
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AI agent engineering reading list | 2026-09-18 to 09-19 AI agent engineering readings for September 18 to 19, 2026, with key findings, engineering implications, suggested sections, and primary sources.
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2026-09-18 至 09-19|AI Agent 工程阅读清单 覆盖 2026-09-18 至 09-19 的 AI Agent 工程阅读日志,保留本期重点、工程意义、优先阅读位置与一手来源。
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skill-up: evaluate real stateful multi-turn sessions Alibaba skill-up resumes real sessions turn by turn, letting skill evaluations test context continuity, intermediate state, and per-turn assertions.
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多轮 Skill Eval 不该把对话压成一包:skill-up 开始续接真实 Session Alibaba skill-up 的 stateful 多轮模式逐轮恢复真实 Session,让 Agent Skill Eval 能检查上下文连续性、中间状态和逐轮断言。