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<rss version="2.0"><channel><title>Leon Qin · 工程笔记</title><link>https://leonqin-ai.github.io/</link><description>从源码出发，记录 AI 与系统工程。Cognitive OS 的架构、多 Agent 协作、记忆、工具执行与实测。</description><language>zh-CN</language><item><title>我为什么用 C11 写一个 Agent Runtime</title><link>https://leonqin-ai.github.io/articles/agent-runtime-in-c/</link><guid>https://leonqin-ai.github.io/articles/agent-runtime-in-c/</guid><description>沿请求调用链拆解二叉堆、协程懒分配、任务引用与回收，解释 C11 Runtime 的设计取舍。</description><pubDate>Fri, 16 Oct 2026 00:00:00 +0000</pubDate></item><item><title>让多个 Agent 真正讨论起来：从逐个回答到有界多轮协作</title><link>https://leonqin-ai.github.io/articles/agent-group-discussion/</link><guid>https://leonqin-ai.github.io/articles/agent-group-discussion/</guid><description>从上下文传播到迟到回复校验，分析顺序发言、轮次成本、收敛条件与可重复的交互测试。</description><pubDate>Fri, 16 Oct 2026 00:00:00 +0000</pubDate></item><item><title>多 Agent 的先后顺序，交给 DAG：先拿到证据，再执行下一步</title><link>https://leonqin-ai.github.io/articles/flow-dependencies/</link><guid>https://leonqin-ai.github.io/articles/flow-dependencies/</guid><description>拆解 Kahn 分层、隐式结果依赖、失败阻断与层屏障，讨论共享副作用和动态调度的代价。</description><pubDate>Fri, 16 Oct 2026 00:00:00 +0000</pubDate></item><item><title>记忆与上下文分开管理：Cognitive OS 的 Memory Service 与 Context MMU</title><link>https://leonqin-ai.github.io/articles/memory-and-context/</link><guid>https://leonqin-ai.github.io/articles/memory-and-context/</guid><description>深入 MMU 评分、分级物化、缓存失效与预算拒绝分支，用长度和 hash 核对规范内容恢复。</description><pubDate>Fri, 16 Oct 2026 00:00:00 +0000</pubDate></item><item><title>模型说要调用工具，Runtime 如何接住：协议解析、分页阅读与附件处理</title><link>https://leonqin-ai.github.io/articles/tool-protocol-and-evidence/</link><guid>https://leonqin-ai.github.io/articles/tool-protocol-and-evidence/</guid><description>复盘 90 个动作却没生成 PPT 的真实故障，解释 DSML 解析、UTF-8 字节分页与附件诊断。</description><pubDate>Fri, 16 Oct 2026 00:00:00 +0000</pubDate></item><item><title>从“回答完成”到“任务完成”：Agent 的状态、证据与故障恢复</title><link>https://leonqin-ai.github.io/articles/reliability-and-recovery/</link><guid>https://leonqin-ai.github.io/articles/reliability-and-recovery/</guid><description>建立完成证据契约，拆开取消、超时、中断恢复与幂等，说明状态误判的原因和验证方法。</description><pubDate>Fri, 16 Oct 2026 00:00:00 +0000</pubDate></item><item><title>我测了百万任务，但没有测百万次模型推理：Cognitive OS 的 Runtime 实测</title><link>https://leonqin-ai.github.io/articles/million-task-benchmark/</link><guid>https://leonqin-ai.github.io/articles/million-task-benchmark/</guid><description>逐层拆解 benchmark runner，用 Python 复算原始数据，解释 P99 聚合、吞吐退化和 RSS 分账。</description><pubDate>Fri, 16 Oct 2026 00:00:00 +0000</pubDate></item><item><title>用实验读懂 Cognitive OS：运行、验证与故障分析</title><link>https://leonqin-ai.github.io/articles/getting-started-and-contributing/</link><guid>https://leonqin-ai.github.io/articles/getting-started-and-contributing/</guid><description>提供文件验收脚本、角色讨论评价表与 DAG 故障实验，从可复现行为理解 Runtime 的实现与边界。</description><pubDate>Fri, 16 Oct 2026 00:00:00 +0000</pubDate></item></channel></rss>