宜博 / lemonboss

  • refactor(agents): 本体归位 system/agents/，公司只存引用，运行态按公司/任务下沉 ...
    d9c53701 
    设计见 docs/done/system-design/28-agent-registry-unification.md。

改造前 Agent 本体散在三处（system/agents/ 11 个、system/templates/ 50 个、
data/companies/{id}/agents/ 17 个），同一个 AgentScaffold 被三个 baseDir 实例化。
后果是同一角色在 N 家公司下有 N 份互不相干的副本，模板更新不会同步；
org-coder / org-planner 这类走 hireFromBaseMetaAgent 造出来的本体
legacy_path 指回自己公司目录，永远无法被第二家公司复用。

本次：
- G1 单一注册表：system/templates/ 整体并入 system/agents/，base → _base。
  7 个同名 id 逐个裁决，被丢弃的一份归档到 docs/_archive/ 而非删除。
  source_kind(template/global_agent/company_hired) → origin(builtin/created)。
- G2 运行态下沉：CLI 的 cwd 从本体根改为 system/agents/{aid}/{cid}/{taskId}/。
  memory / conversations 落公司态 {aid}/{cid}/，按公司隔离不串。
  sessionPool 的 key 含 (companyId, taskId)，两家公司调同一 agent 不复用会话。
- G2b 产物不下沉：交付物仍落 data/companies/{cid}/，system/agents/ 只留运行痕迹。
  写入边界按链路分叉——graph 节点走节点私有目录（被 indexNodeOutputs 索引），
  chat 走公司 workspace，同一提示词里不再出现两条互斥指令。
- G3 公司只存引用：data/companies/{id}/agents/ 删除，新增 company_agents 关联表。
  不复用 org_graph_nodes——后者是执行流图，work 层本体被雇时不写它，天生覆盖不全。
- G4 缺则创建：本体缺失时从 _base 复制骨架进 system/agents/{id}/，
  agent-creator 填 agent.md/soul.md 后才从 draft 转 active（哨兵判据，
  骨架未填时哨兵仍在，不许被 hire）。产物即刻是全系统可复用的本体。

新增 server/services/agent-locator.js 收编原先散在 6 处的寻址逻辑。

边界守卫（graph-engine）的豁免从「本体根上五个文件名」放宽为整棵 system/agents/：
新本体的骨架本来就要进 git，gitignore 挡不住 ?? system/agents/{newId}/，
旧判据会把一个真正成功的招聘节点判成 boundary_escape fail。

存量迁移见 scripts/migrate-agent-registry.js（幂等，备份到 data/_migration-backup-*）。

真 Claude CLI E2E 已验证：新建公司 → orggraph-planning 自动规划 →
自动招聘 org-planner/org-coder/org-validator 三节点流水线；
data/companies/{cid}/agents/ 不存在，company_agents 4 行，
system_agents 56→56（零新建私有本体，纯复用），git status 零增量。

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
    yibo authored
     
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  • refactor: 统一数据架构 - system/templates/companies 三层分离 ...
    4a688046 
    - System agents: 只保留 master (data/system/agents/master)
- Templates: 所有可复用 agent 模板 (data/system/templates/)
- Companies: 公司创建时自动部署 5 个元 Agent (innovator/hunter/digester/evolver/agent-creator)

路径修复:
- agent-chat.js: /list 扫描路径修正 (system/agents + companies/*/agents)
- agent-manager.js: 动态 agent 查找路径修正
- skill-config-loader.js: 修正 agents root
- pipeline-service.js: pipelines 输出到 companies/{id}/pipelines/
- billing.log: 移至 companies/{id}/logs/ 下

Skills 标准化:
- 所有 template agent 建立 .claude/skills/main_skill/SKILL.md
- company-service._copyTemplate() 新增 .claude/ 目录复制
- innovator SKILL.md v3.0: 移除旧 l3-hunt/l2-digest 命名
- 清理重复 agent_creator, 统一为 agent-creator

清理:
- 移除 data/agents, data/workspace, data/logs, data/goals 旧目录
- 清除所有未使用的 DATA_DIR 声明
- 清除 template 中的 conversations/logs/memory 运行态数据
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  • refactor: restructure data directory architecture for multi-tenant support
    51ee77ec
    yibo authored
     
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  • feat(p1): 运营数据接入 + 归因分析 + Know-how自动更新 ...
    b24b562c 
    Phase 3 反馈进化闭环:

1. DataSourceService (运营数据接入):
   - 新增 datasource-service.js: 抽象适配器模式
   - MockAdapter: 模拟运营数据 (开发调试)
   - FileAdapter: 从本地 JSON 文件读取数据
   - 可扩展: 预留 WechatAdapter/DouyinAdapter 接口
   - API: GET /data/metrics, /data/trending, /data/attribution

2. 归因分析引擎:
   - analyzeAttribution(): 自动对比两个时间段指标
   - 计算变化百分比和趋势方向
   - 自动提取显著变化维度并生成洞察文本
   - API: GET /api/company/:id/data/attribution

3. Know-how 自动更新 (memory-service.js):
   - 新增 updateAgentKnowhow() 函数
   - autoReflect 产出的 patterns/lessons 自动写回 SKILL.md
   - 在 SKILL.md 末尾维护'经验教训(自动沉淀)'段落
   - 保留最近 20 条记录，自动清理过旧条目
   - 闭环: Agent执行 → 反思 → 经验写入SKILL → 下次读取改进行为
    yibo authored
     
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  • feat(agent): implement autonomous observer UI, namespaced agent routing, and Mas… ...
    7a5fb5f3 
    …ter Agent cognitive auto-recovery loop

- Refactored CompanyDashboard into read-only Observer UI
- Enforced strict companyId:roleId namespacing across Node APIs and AgentManager
- Added dynamic <env_status> injection to PromptBuilder for robust context
- Introduced bin/lemon.js CLI for structured LLM tool execution
- Implemented in-stream error interceptors for implicit silent retry loop
    yibo authored
     
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  • fix(memory): prioritize current task relative to history for hippocampus; optimi… ...
    c45e4968 
    …ze Chinese keyword extraction

- Fix: The long trailing history in todo.md drowned out the actual current task keywords because English tokens (e.g. TASK, P2, from) padded the 30-keyword limit beforehand.
- Updated extractKeywords: Process Chinese characters first as they carry more weight for NLP context intent.
- Added userMessage prefix to searchText in buildSystemPrompt so newly dispatched tasks dominate keyword extraction.
- End-to-end e2e test created and passed (27/27 asserts passed)
    yibo authored
     
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  • feat: implement Memory Phase 3 — reflect engine + long-term consolidation ...
    d2f13843 
    Phase 3 features:
- autoReflect: auto-trigger on complex conversations (toolCount>=3 or duration>=60s)
  - Extracts patterns from successful conversations
  - Extracts lessons from failed conversations
  - Auto-solidifies cerebellum plans from 5+ tool-call successes
  - Writes reflection logs to memory/reflections/
  - Updates memory.md 'verified patterns' and 'lessons learned' sections
- consolidateMemory: merge short-term sessions older than 7 days into long-term/
  - Extracts frequent keywords across merged sessions
  - Writes consolidated summary to long-term/consolidate-{date}.md
  - Updates long-term/patterns.md with high-frequency patterns
- generateDailyReport: aggregate today's sessions and reflections into daily/{date}.md
- API endpoints: POST /:agentId/memory/consolidate, POST /:agentId/memory/daily-report

Test results: 16/16 passed (Phase 3 test suite)
    yibo authored
     
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  • feat: implement Memory Phase 2 — hippocampus retrieval + cerebellum plans ...
    2e6f62a5 
    - Hippocampus keyword matching engine (extractKeywords + score)
- Cerebellum plan storage (saveCerebellumPlan)
- Auto-sync hippocampus-index.json + hippocampus.md
- POST /:agentId/memory/cerebellum API endpoint
- buildSystemPrompt injects matched plans from hippocampus
- Use count & lastUsed tracking on plan access
- Chinese n-gram + English word tokenizer with stop words
- Fix: score formula uses entry keyword count as denominator
- Fix: useCount updates original index entry not spread copy
- Verified: OKR plan matched + injected into CEO prompt
    yibo authored
     
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  • feat: implement Agent Memory Phase 1 MVP ...
    ef48bf0b 
    - New: server/services/memory-service.js
  - saveSessionSummary(): auto-save session summary to short-term/
  - loadRecentMemory(): inject last 5 sessions into system prompt
  - appendToMemoryMd(): auto-append key facts with size control
- Modified: server/routes/agent-chat.js
  - buildSystemPrompt() now loads recent short-term sessions
  - Conversation completion triggers auto memory save
- Verified: CEO Agent conversation creates session file + updates memory.md
    yibo authored
     
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