# Light Sleep

- Candidate: User: [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status. [Subagent Task] 你是 Agent Evolution Mode 下的项目分析子 Agent。你的任务是深度分析 CodeGraph 项目。 项目路径: /Users/a1234/.openclaw/workspace/repos/codegraph ## 分析维度（每
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-03.txt:1-1
  - recalls: 0
  - status: staged
- Candidate: User: 查询引擎：如何从图谱中检索相关信息 - 项目聚焦(contextualization)：如何识别当前关注的项目/文件 ### 输出要求 将完整分析结果写出到: /Users/a1234/.openclaw/workspace/repos/analysis/codegraph-analysis.md 格式美观，包含代码引用（文件路径+行号），每个结论都有源码证据。 特别注意: - 这是 TypeScript 项目（package.json + tsconfig.json） - 主代码在 src/ 下 - docs/ 目录可能有设计文档 - si
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-03.txt:2-2
  - recalls: 0
  - status: staged
- Candidate: Assistant: Now let me read the core source files in depth:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-03.txt:3-3
  - recalls: 0
  - status: staged
- Candidate: Assistant: Now I have all the information needed for a comprehensive analysis. Let me write the output file.
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-03.txt:4-4
  - recalls: 0
  - status: staged
- Candidate: Assistant: 分析完成。已将完整分析写入 `/Users/a1234/.openclaw/workspace/repos/analysis/codegraph-analysis.md`。 ## 完成摘要 **CodeGraph** 是一个 TypeScript 实现的**本地优先代码智能系统**，通过 tree-sitter AST 解析 + SQLite 知识图谱，为 AI 编程助手提供毫秒级代码理解能力。 ### 核心发现 **架构**：7 个关键模块 — types（数据模型）、extraction（tree-sitter 解析器）、db（
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-03.txt:5-5
  - recalls: 0
  - status: staged
- Candidate: Assistant: 语言感知工具构建
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-03.txt:6-6
  - recalls: 0
  - status: staged
- Candidate: User: 你可以调用桌面端的codex 吗
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-03.txt:7-7
  - recalls: 0
  - status: staged
- Candidate: Assistant: 不能直接调用。Codex 是 Cursor 编辑器内置的 AI 命令行工具，我没有直接操作 Cursor/Codex 的能力。 不过，如果你需要我帮忙： 1. **代替 Codex 做事** — 比如文件操作、git 管理、搜索代码、运行命令等，我都能做 2. **生成 Codex 要执行的命令** — 我可以告诉你跑什么命令，你直接在 Cursor 里 `Cmd+K` 或 `Ctrl+Shift+P` 执行 3. **通过 CLI 间接交互** — 如果你想自动化 Cursor，可以试试 Cursor 的 CLI (`cursor
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-03.txt:8-8
  - recalls: 0
  - status: staged
- Candidate: User: codex cli 你不是接入不了吗
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-03.txt:9-9
  - recalls: 0
  - status: staged
- Candidate: Assistant: 让我查一下系统里有没有 Cursor/Codex 的 CLI 可用。
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-03.txt:10-10
  - recalls: 0
  - status: staged
- Candidate: Assistant: 哦，真有！`codex` 已经装上了，是 OpenAI 的 Codex CLI。让我看看它能干嘛。
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-03.txt:11-11
  - recalls: 0
  - status: staged
- Candidate: Assistant: 有，`codex` CLI 装好了，是 OpenAI 的 Codex CLI。让我看看它登录状态和能不能直接用。
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-03.txt:12-12
  - recalls: 0
  - status: staged
- Candidate: Assistant: 找到了！`codex` CLI 确实装好了，版本 0.135.0。不过现在状态有点微妙： ``` ✗ reachability provider base URL route returned 404 custom API base URL http://127.0.0.1:15721/v1 → HTTP 404 ``` 它配的是**自定义 provider**（智谱GLM），走你本地的 `127.0.0.1:15721/v1` 代理。这个 endpoint 返回 404，所以目前**不可用**。 不过只要这个代理正常了，我就能通过
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-03.txt:13-13
  - recalls: 0
  - status: staged
- Candidate: Assistant: 过了 8 点，做下心跳检查。
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-03.txt:14-14
  - recalls: 0
  - status: staged
- Candidate: User: 查下昨天的聊天记录
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-03.txt:15-15
  - recalls: 0
  - status: staged
- Candidate: User: 全量检查本地记忆系统和远程的有没有遗漏 还有没有优化方案能做的更好
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:1-1
  - recalls: 0
  - status: staged
- Candidate: Assistant: [assistant turn failed before producing content]
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:2-2
  - recalls: 0
  - status: staged
- Candidate: Assistant: 全面审计完成。以下是报告： --- # 🐉 小龙记忆系统全量审计报告 ## 📊 总览 | 维度 | 状态 | 得分 | |------|------|------| | 文件结构 | 🟢 完整 | 20 个 .md 文件, 112KB | | 远程同步 | 🟢 运行中 | 21 条记忆已同步到 111.229.145.18 | | 版本控制 | 🔴 缺失 | 无 .gitignore, 无 git remote, 零提交 | | 自动化 | 🔴 断链 | Dream Cycle cron 未配置 | | 索引时效 | �
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:4-4
  - recalls: 0
  - status: staged
- Candidate: Assistant: 标记不会被推送到远程服务器，健康评分不会自动产生。 ### 3. 今日 daily 缺失 ``` memory/daily/2026-06-04.md: ❌ 不存在 ``` 应该创建一个记录当前会话。 --- ## 🟡 警告 (5 项) ### 4. index.md 过时 — 缺 6 项索引 | 未索引 | 所在位置 | |--------|----------| | `github-top20-analysis` | projects/ | | `priority-install-plan` | projects/ | | `
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:5-5
  - recalls: 0
  - status: staged
- Candidate: Assistant: 显示这些目录是空的（`??` 状态表示存在但为空? 需要确认）。 --- ## 🟢 健康项 (7 项) - ✅ 远程记忆服务器在线，`0129b5ce_xiaolong` 项目 21 条记忆 - ✅ 5 篇 daily 连续无缺口 (05-30 → 06-03) - ✅ MEMORY.md: 2508 字节，远在阈值内 - ✅ 寄存器层 4 个文件结构清晰，Write Gate 规则明确 - ✅ Contradiction Protocol 已建立 - ✅ 6 系统统一路由策略 (memory-routing.md) - ✅ me
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:6-6
  - recalls: 0
  - status: staged
- Candidate: Assistant: `memory-sync.sh index` | | 7 | **拆分 vault.md** | 工具环境 → `registers/tool-env.md`，伙伴系统 → `registers/companions.md` | | 8 | **配置 git auto-commit** | cron 每天 23:00 自动 `git add memory/ && git commit -m "..." && git push` | | 9 | **更新 companion-log** | 4 天空白期补上 | ### P2 — 长期
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:7-7
  - recalls: 0
  - status: staged
- Candidate: User: 配置 git remote → Gitea 地址 https://git666.u7f.cn/16gagent 现在开始执行 P0 修复
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:8-8
  - recalls: 0
  - status: staged
- Candidate: Assistant: 开始执行 P0。先创建 `.gitignore`：
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:9-9
  - recalls: 0
  - status: staged
- Candidate: Assistant: 已经有两个本地提交但无 remote！直接添加 remote 即可。
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:10-10
  - recalls: 0
  - status: staged
- Candidate: Assistant: Repo 在 Gitea 上还不存在。让我用 API 创建它。先查一下 token：
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:11-11
  - recalls: 0
  - status: staged
- Candidate: Assistant: 拿到凭证了。用 Gitea API 创建仓库：
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:12-12
  - recalls: 0
  - status: staged
- Candidate: User: ## PR-8: Active Memory Precompute Replacement Readiness Gate 你现在要完成 **PR-8**。 目标：在 PR-7 已完成 shadow diff/evaluation 的基础上，实现一个**只读的替换可行性评估门禁**，判断 precompute gateway 是否已经具备未来替换阻塞召回的条件。 注意：PR-8 **仍然不允许替换生产召回**。本 PR 只做 readiness gate，不改变用户可见行为。 --- ## 核心目标 新增一个基于 PR-7 diff 指标的 r
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:13-13
  - recalls: 0
  - status: staged
- Candidate: User: `avgTopKOverlap >= 0.85` * `sameTopResultRate >= 0.95` * `shadowErrorRate <= 0.01` * `shadowTimeoutRate <= 0.01` * `totalSamples >= 100` 5. 状态规则： * 全部通过 → `pass` * 样本不足或轻微指标不足 → `warn` * 错误率/超时率过高或重叠严重不足 → `fail` 6. `safeToReplace` 必须只有在 `status === "pass"` 时才为 `true` 7. 必须
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:14-14
  - recalls: 0
  - status: staged
- Candidate: User: malformed/空输入不得导致进程崩溃 5. 只读运行 6. 不新增依赖 --- ## 4. 新增测试 新增： `test/active-memory/precompute-readiness-gate.test.mjs` 覆盖至少： ### 模块纯函数测试 * 全部指标达标 → pass * overlap 不足 → fail * topK 不足 → fail * sameTopResultRate 不足 → warn 或 fail * errorRate 过高 → fail * timeoutRate 过高 → fail * tota
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:15-15
  - recalls: 0
  - status: staged
- Candidate: User: PASS / WARN / FAIL 规则 5. safeToReplace 含义 6. CLI 使用方式 7. 为什么 PR-8 仍然不改变生产行为 8. PR-9 前置条件 --- ## 禁止事项 * 禁止让 gateway 替代 primary recall * 禁止让 shadowResult 参与用户回复 * 禁止修改 MEMORY.md * 禁止写入 SQLite * 禁止修改 FTS5 schema * 禁止修改 package.json * 禁止新增依赖 * 禁止删除或重构现有主召回逻辑 --- ## 完成后输出 请输出： 1
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:16-16
  - recalls: 0
  - status: staged
- Candidate: Assistant: Now let me look at the existing docs and test patterns for consistency:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:17-17
  - recalls: 0
  - status: staged
- Candidate: Assistant: Now I have full context. Let me create the plan and implement all PR-8 files.
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:18-18
  - recalls: 0
  - status: staged
- Candidate: Assistant: Now I'll make the targeted edits to the report script:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:19-19
  - recalls: 0
  - status: staged
- Candidate: Assistant: The root cause is a bug in `_metricLabel` — using `labels.name` instead of accessing by key, and missing the `name` parameter. Let me fix it.
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:20-20
  - recalls: 0
  - status: staged
- Candidate: Assistant: Now let me fix the report script's output to emit pure JSON when `--readiness` is active, so tests can parse it cleanly.
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:21-21
  - recalls: 0
  - status: staged
- Candidate: Assistant: Down to 4 test failures. Let me fix them all: 1. Score thresholds in tests too strict (other good metrics inflate score) 2. Empty summary score is 25 (correct: 0% error/timeout rate gives partial points) 3. B.02 test needs to parse only the JSON line from report output
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:22-22
  - recalls: 0
  - status: staged
- Candidate: Assistant: All 59 tests pass. Let me verify no regressions in existing tests:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:23-23
  - recalls: 0
  - status: staged
- Candidate: Assistant: PR-8 **完成**。所有 59 个测试通过，零行为变更。 --- ## PR-8 完成报告 ### 修改文件列表 | 文件 | 变更 | 说明 | |------|------|------| | `src/active-memory/precompute-readiness-gate.mjs` | **新增** | 核心 readiness gate 纯函数模块 | | `scripts/active-memory-shadow-diff-report.mjs` | **修改** | 新增 `--readiness` / `-
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:24-24
  - recalls: 0
  - status: staged
- Candidate: Assistant: 服务器健康，无告警。静默退出。
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:25-25
  - recalls: 0
  - status: staged
- Candidate: User: [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status. [Subagent Task] You are writing unit tests for the Claw Agent OS v2 monorepo. Write tests for memory-system and orchestration packages. Write
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:26-26
  - recalls: 0
  - status: staged
- Candidate: User: (MockEmbeddingProvider, OpenAIEmbeddingProvider) - /Users/a1234/.openclaw/workspace/claw-os-v2/packages/memory-system/src/vectorstore.ts (InMemoryVectorStore, cosineSimilarity) Tests should cover: 1. memory 写入 (ConversationMemory.add / SemanticMemory.add) 2. memory 查询 (Sema
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:27-27
  - recalls: 0
  - status: staged
- Candidate: User: InMemoryVectorStore, cosineSimilarity } from '../vectorstore'; ``` ## orchestration tests (at least 5 tests) The source code is at: - /Users/a1234/.openclaw/workspace/claw-os-v2/packages/orchestration/src/task.ts - /Users/a1234/.openclaw/workspace/claw-os-v2/packages/orches
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:28-28
  - recalls: 0
  - status: staged
- Candidate: Assistant: Now let me read the orchestration source files:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:29-29
  - recalls: 0
  - status: staged
- Candidate: Assistant: Let me check for existing config/package setup:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:30-30
  - recalls: 0
  - status: staged
- Candidate: Assistant: Now I have full context on all the APIs. Let me write both test files:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:31-31
  - recalls: 0
  - status: staged
- Candidate: Assistant: Both test files are written. Let me run them to verify they pass:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:32-32
  - recalls: 0
  - status: staged
- Candidate: Assistant: One test assertion was wrong — the MockEmbeddingProvider's deterministic hash didn't rank "Cooking" as the least relevant to "learning". Let me fix that test to check the actual descending sort property instead:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:33-33
  - recalls: 0
  - status: staged
- Candidate: Assistant: The team.ts has a circular dependency issue with `Agent`. Let me check how it imports:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:34-34
  - recalls: 0
  - status: staged
- Candidate: Assistant: The orchestration tests revealed a source code bug — `team.ts` imports `Agent` as a type-only import from `./types`, but then uses `new Agent(...)` at runtime. Let me fix the import and re-run:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:35-35
  - recalls: 0
  - status: staged
- Candidate: Assistant: All 19 orchestration tests pass. Now re-run the memory-system tests:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:36-36
  - recalls: 0
  - status: staged
- Candidate: Assistant: All tests pass. Here's a summary of what was accomplished: ## Results ### memory-system (`src/__tests__/memory-system.test.ts`) — **17 tests, all passing** | Describe Block | Tests | Coverage | |---|---|---| | ConversationMemory | 3 | `add()` assigns id/timestamp, `get
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:37-37
  - recalls: 0
  - status: staged
- Candidate: User: 你刚刚升级的 v2 比原来多了什么功能 还有这次升级会不会和原来的系统冲突
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:38-38
  - recalls: 0
  - status: staged
- Candidate: Assistant: The user is asking about a recent upgrade to v2 of some system, and wants to know: 1. What new features does v2 have compared to the original 2. Will this upgrade conflict with the original system I need to check memory to see what was recently upgraded. Let me search
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:39-39
  - recalls: 0
  - status: staged
- Candidate: Assistant: The memory search didn't return much about a "v2 upgrade". The user might be referring to something specific in the current context. Let me check if there's more context about what was upgraded. The session status shows this is the first message, so the user might be r
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:40-40
  - recalls: 0
  - status: staged
- Candidate: User: 7385afb0f1494c368faf7aefcbbc6c66.8FIWuBxUrOAJiqaU
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:41-41
  - recalls: 0
  - status: staged
- Candidate: Assistant: The user sent what looks like a hash or token string: `7385afb0f1494c368faf7aefcbbc6c66.8FIWuBxUrOAJiqaU` This could be: 1. A session key 2. A file ID or reference 3. Some kind of authentication token 4. A reference to something specific Let me check if this is a sessi
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:42-42
  - recalls: 0
  - status: staged
- Candidate: Assistant: attachment, an image, or something else entirely. Since I don't see a clear way to retrieve it, I should ask the user directly what they're trying to share with me or what they'd like me to do with it.这个看起来像是一个附件或文件标识符。你是想让我看什么文件吗？ 如果是图片或文档，可以直接描述一下内容，或者告诉我你想让我做什么。
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:43-43
  - recalls: 0
  - status: staged
- Candidate: User: memory/vault.md — 新增 Claw OS v2 项目记录 memory/projects/claw-agent-os-v2.md — PRD 产品需求文档 claw-os-v2/ — 5 模块代码实现
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:46-46
  - recalls: 0
  - status: staged
- Candidate: Assistant: The user is providing what looks like a commit hash or identifier, and then referencing memory files and a project. Let me check these files to understand what the "v2" upgrade is about.明白了，你是指 **Claw OS v2** 这个项目。让我看看具体内容。
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:47-47
  - recalls: 0
  - status: staged
- Candidate: Assistant: Now I have a good picture. The user is asking about the Claw Agent OS v2 project - what new features it has compared to the original, and whether it will conflict with the existing system. Let me look at the code implementation to give a concrete answer.
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:48-48
  - recalls: 0
  - status: staged
- Candidate: Assistant: Now I have the full picture. Let me answer the user's two questions clearly: 1. What new features does v2 have compared to the original 2. Will it conflict with the existing system Let me provide a clear, structured answer.清楚了。回答你两个问题： --- ## v2 比原来多了什么 Claw OS v2 是基于
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:49-49
  - recalls: 0
  - status: staged
- Candidate: User: [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status. [Subagent Task] You are writing unit tests for the Claw Agent OS v2 monorepo. Write tests for workflow-engine and agent-runtime packages. Writ
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:50-50
  - recalls: 0
  - status: staged
- Candidate: User: /Users/a1234/.openclaw/workspace/claw-os-v2/packages/workflow-engine/src/types.ts - /Users/a1234/.openclaw/workspace/claw-os-v2/packages/workflow-engine/src/suspend.ts - /Users/a1234/.openclaw/workspace/claw-os-v2/packages/workflow-engine/src/durable.ts Read these files FIR
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:51-51
  - recalls: 0
  - status: staged
- Candidate: User: /Users/a1234/.openclaw/workspace/claw-os-v2/packages/agent-runtime/src/planner.ts - /Users/a1234/.openclaw/workspace/claw-os-v2/packages/agent-runtime/src/types.ts Read these files FIRST to understand the exact API. Tests should cover: 1. agent 初始化 (AgentRuntime constructor
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:52-52
  - recalls: 0
  - status: staged
- Candidate: Assistant: Now I have a complete picture of the APIs. Let me write both test files.
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:53-53
  - recalls: 0
  - status: staged
- Candidate: Assistant: Both test files are written. Let me verify them and check the directory structure:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:54-54
  - recalls: 0
  - status: staged
- Candidate: Assistant: ## 完成报告 两个测试文件均已成功写入。以下是摘要： --- ### `/packages/workflow-engine/src/__tests__/workflow-engine.test.ts` (504 行) | # | Describe | 测试 | 数量 | |---|----------|------|------| | 1 | **WorkflowBuilder / defineWorkflow** | 创建定义、链式连接、retry/timeout 配置、visualize 输出 | 4 | | 2 | **Se
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:55-55
  - recalls: 0
  - status: staged
- Candidate: Assistant: | # | Describe | 测试 | 数量 | |---|----------|------|------| | 1 | **Agent 初始化** | id/name/role/goal、getTools()、getMetadata()、plan() 接口 | 4 | | 2 | **Planner decompose** | 唯一 ID 和时间戳、test/analyze 步骤、learn/remember 步骤、dependsOn、fallback、pending 状态 | 6 | | 3 | **Tool 注册与执行*
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:56-56
  - recalls: 0
  - status: staged
- Candidate: Assistant: `WorkflowBuilder`（start/then/branch/parallel/suspend/end/retry/timeout/visualize/build）、`WorkflowEngine`（execute/on/off/registerExecutor/resume）、`ApprovalManager`（requestApproval/approve/reject/cancel）、`MemorySuspendAdapter`、`MemoryDurableStore` - **agent-runtime**: `A
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:57-57
  - recalls: 0
  - status: staged
- Candidate: Assistant: ✅ 远程记忆服务器健康，含 `xiaolong` 字段。无需操作。
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:58-58
  - recalls: 0
  - status: staged
- Candidate: User: [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status. [Subagent Task] 在 /Users/a1234/.openclaw/workspace/claw-os-v2/packages/mcp-gateway/ 和 /Users/a1234/.openclaw/workspace/claw-os-v2/packages/wor
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:59-59
  - recalls: 0
  - status: staged
- Candidate: User: "devDependencies": { "typescript": "^5.7.0", "vitest": "^3.0.0" } } ``` 2. mcp-gateway/tsconfig.json: ```json { "extends": "../../tsconfig.base.json", "compilerOptions": { "outDir": "./dist", "rootDir": "./src" }, "include": ["src/**/*.ts"], "exclude": ["node_modules", "dis
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:60-60
  - recalls: 0
  - status: staged
- Candidate: User: - MCP Client SDK (multi-transport) - Dynamic Tool Registration (Server Manager) - MCP Widget System - Built-in Inspector ## Usage ```ts import { MCPServer, text } from '@claw-os/mcp-gateway'; const server = new MCPServer({ name: 'my-server', version: '1.0.0' }); ``` ``` 5.
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:61-61
  - recalls: 0
  - status: staged
- Candidate: User: "typescript": "^5.7.0", "vitest": "^3.0.0" } } ``` 6. workflow-engine/tsconfig.json: ```json { "extends": "../../tsconfig.base.json", "compilerOptions": { "outDir": "./dist", "rootDir": "./src" }, "include": ["src/**/*.ts"], "exclude": ["node_modules", "dist", "**/__tests__
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:62-62
  - recalls: 0
  - status: staged
- Candidate: User: Workflow Engine - Branch / Parallel / Sequential control flow - Suspend/Resume (human-in-the-loop) - Durable Execution (state persistence) - `.then()` / `.branch()` / `.parallel()` DSL ``` Please write ALL 8 files using the write tool. Also create the __tests__ directories:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:63-63
  - recalls: 0
  - status: staged
- Candidate: Assistant: 全部完成。已创建以下内容： **mcp-gateway/** | 文件 | 状态 | |---|---| | `package.json` | ✅ 580 bytes | | `tsconfig.json` | ✅ 220 bytes | | `vitest.config.ts` | ✅ 312 bytes | | `README.md` | ✅ 398 bytes | | `src/__tests__/` | ✅ 目录已创建 | **workflow-engine/** | 文件 | 状态 | |---|---| | `packa
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:64-64
  - recalls: 0
  - status: staged
- Candidate: User: [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status. [Subagent Task] 深入分析 letta (letta-ai/letta，原 MemGPT) 记忆系统项目。 你现在已经 clone 了源码到 /tmp/letta-flat（如果没有就重新 clone：git clone --depth=1 https://github
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:65-65
  - recalls: 0
  - status: staged
- Candidate: User: 8. **可迁移能力**：哪些功能适合迁移到 OpenClaw/小龙的 Markdown+向量记忆系统？ 9. **不适合迁移的部分**：说明原因 ## 重点深入 请重点读取以下文件（如果存在）： - agents/ 目录下的核心 agent 循环 - memory/ 目录下的记忆管理 - Core Memory、Archival Memory、Recall Memory 的定义和实现 - 记忆读写决策的代码 - README.md 的架构说明 输出格式：中文，结构清晰，每个源码引用标注文件路径。不要猜测，基于实际源码分析。 Begin. E
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:66-66
  - recalls: 0
  - status: staged
- Candidate: Assistant: Now let me read the core memory schemas and the main agent loop files:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:67-67
  - recalls: 0
  - status: staged
- Candidate: Assistant: Now let me read the core agent loop and key service files:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:68-68
  - recalls: 0
  - status: staged
- Candidate: Assistant: Now let me look at the memory tool functions, the `_step` method, and the block manager:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:69-69
  - recalls: 0
  - status: staged
- Candidate: Assistant: Now let me look at the tool execution flow in v3 and the memory_repo service:
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:70-70
  - recalls: 0
  - status: staged
- Candidate: Assistant: Now I have enough information to write the comprehensive analysis. Let me compile all findings.
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:71-71
  - recalls: 0
  - status: staged
- Candidate: Assistant: --- # Letta (原 MemGPT) 记忆系统深度分析报告 > 基于 `letta-ai/letta` 源码分析，commit: main 分支最新 --- ## 一、项目定位：它解决什么记忆问题？ Letta 解决的核心问题是：**LLM Agent 的上下文窗口有限，但需要长期记忆**。 传统做法是把所有历史消息塞进上下文窗口，超出长度就丢弃旧消息——导致 Agent "失忆"。Letta 的设计思想是将记忆管理从 LLM 中解放出来，让 **Agent 自己管理自己的记忆**，类似操作系统的虚拟内存管理： - **Co
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:72-72
  - recalls: 0
  - status: staged
- Candidate: Assistant: replace │ ├─────────────────────────────────────────────────┤ │ Archival Memory │ │ (向量数据库 + 标签过滤，类似磁盘) │ │ └─ Passage: 内容 + embeddings + tags │ │ ↑ toolkit: archival_memory_insert │ │ ↑ toolkit: archival_memory_search │ ├───────────────────────────────────────────────
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:73-73
  - recalls: 0
  - status: staged
- Candidate: Assistant: 检查工具调用是否满足约束（require-before-exit, terminal 等） 5. **决策继续/停止** → 根据工具调用结果决定是否继续循环 6. **上下文压缩** → 当 token 使用量超过阈值（`context_window * 0.9`），触发 summarization/compaction ``` Agent Loop (v3): step() → _step() → LLM 调用 (带 tool definitions + ToolRulesSolver) → _handle_ai_respons
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:74-74
  - recalls: 0
  - status: staged
- Candidate: Assistant: value: str # 记忆内容 label: str # 标签，如 "human"、"persona"、"tasks" description: str # 描述该区块如何影响 Agent 行为 limit: int # 字符数上限 (默认 100000) read_only: bool # 是否只读 metadata: dict # 元数据 ``` ```python # Memory(letta/schemas/memory.py:68) class Memory(BaseModel): blocks: List[Block
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:75-75
  - recalls: 0
  - status: staged
- Candidate: Assistant: letta/functions/function_sets/base.py:263 def core_memory_replace(agent_state, label, old_content, new_content) -> str: # 精确替换记忆块中某段内容（需要 exact match） current_value = str(agent_state.memory.get_block(label).value) new_value = current_value.replace(str(old_content), str
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:76-76
  - recalls: 0
  - status: staged
- Candidate: Assistant: 服务器可达，包含 xiaolong 字段。检查是否需重置计数器。
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:77-77
  - recalls: 0
  - status: staged
- Candidate: Assistant: 远程记忆服务器健康 ✅ — 正常，静默退出。
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:78-78
  - recalls: 0
  - status: staged
- Candidate: Assistant: 服务器可达，正常静默退出。重置失败计数。
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:79-79
  - recalls: 0
  - status: staged
- Candidate: Assistant: 正常，无需告警。
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:80-80
  - recalls: 0
  - status: staged
- Candidate: Assistant: 响应包含 `xiaolong` 项目（44条记忆），服务器正常。静默退出。
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:81-81
  - recalls: 0
  - status: staged
- Candidate: Assistant: 服务器健康，返回包含 `xiaolong` 项目。检查是否有待重置的失败计数。
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:82-82
  - recalls: 0
  - status: staged
- Candidate: Assistant: 正常，沉默退出。
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:83-83
  - recalls: 0
  - status: staged
- Candidate: User: [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status. [Subagent Task] 修复 Claw Agent OS v2 orchestration 和 mcp-gateway 包的 TypeScript 编译错误。 ## orchestration (11 errors) 读取以下文件修复： - /Users/a1234/.ope
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:84-84
  - recalls: 0
  - status: staged
- Candidate: User: 改为从 './agent' 导入 3. team.ts:12 — `Module '"./types"' has no exported member 'Task'` → Task 改为从 './task' 导入 4. team.ts:113,118,120 — `'agent'/'speaker' is possibly 'undefined'` → 添加非空断言 `!` ## mcp-gateway (14 errors) 读取以下文件修复： - /Users/a1234/.openclaw/workspace/claw-os-v2/pa
  - confidence: 0.58
  - evidence: memory/.dreams/session-corpus/2026-06-04.txt:85-85
  - recalls: 0
  - status: staged