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Phase 1 核心改进: 1. Pipeline↔Task 系统打通: - task/report 回调自动推进 Pipeline 步骤 - findActiveRunStep() 按 agentId 定位活跃步骤 - 扫描所有公司的 Pipeline Runs 实现跨公司桥接 2. Pipeline 循环执行: - 新增 pipeline.loop 配置项 - Run 完成后自动启动下一轮 (最大 maxLoops=365) - loopCount 计数器追踪循环轮次 3. COO 质量门控: - 新增 rejectStep() 驳回方法，含驳回历史记录 - POST /api/agent/task/reject API 端点 - POST /api/company/:id/pipelines/runs/:runId/reject 路由 - node bin/lemon.js task reject CLI 命令 - 驳回后自动唤醒 Agent 重做，注入改进意见 4. COO 模板全面强化: - agent.md: 4维度评分体系、质量审核流程图 - soul.md: 性格、价值观、决策原则 - tools.md: 新增 task reject 核心工具 - heartbeat.md: 结构化巡检清单 + 升级规则
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…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
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- CompanyHeartbeatService: company-level heartbeat with timer registration - Auto-trigger: cron-based pipeline scheduling (intervalHours) - Active run driving: dispatch tasks to agents, timeout detection - CEO heartbeat: periodic company status check - Pipeline cron field support in definitions - Registered in server startup alongside agent heartbeat - E2E test: 113/113 passed (all phases + autonomous loop)
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- PipelineService: define pipelines with ordered agent-assigned steps - Run lifecycle: start → markStepStarted → advanceStep → complete - Step output automatically flows as next step input - Pipeline CRUD + Run management REST API routes - E2E test: 106/106 passed (Phase 1 + 2 + 3 + 4)
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- GoalsService refactored: constructor accepts optional companyId - With companyId: goals stored in data/{companyId}/goals/ - Without: backward-compatible data/goals/ (global) - Company Goals REST API: full OKR CRUD under /api/company/:id/goals - OKR isolation verified: different companies have independent goal spaces - E2E test: 81/81 passed (Phase 1 + 2 + 3) -
- scaffoldNewAgent: create agent skeleton via AgentScaffold directly - depositTemplate: benchmark gating (≥95) + auto-deposit to templates/ - hireWithTraining: full flow (template lookup → scaffold fallback) - Company route: /hire uses hireWithTraining, new /deposit-template endpoint - E2E test: 69/69 passed (Phase 1 + Phase 2)
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- CompanyService: CRUD (create/get/list/update/shutdown) - Agent Hiring Pipeline: template lookup → copy → context injection - Template registry (_registry.json) with CEO and qa-judge initial templates - resolveAgentDir(companyId, agentId) unified agent directory resolution - Company REST API routes (/api/company/*) - E2E test: 46/46 passed
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- Extracted HeartbeatService to periodically wake up agents flagged with 'heartbeat.enabled' - Sends a silent [SYSTEM HEARTBEAT] message to trigger self-checks (e.g. OKR state validation) - Automatically integrated service dispatch hook in server startup sequence - Configured qa-judge to run autonomous heartbeat every 10 min
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…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)
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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) -
- 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
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- 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
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- Implement OKR GoalsService with hierarchical node tracking - Add /api/goals routes and integrate with dispatch/report APIs - Create Innovator agent with Hunt→Digest→Evolving pipeline - Create Hunter (l3-hunt), Digester (l2-digest), Evolver (evolving) meta agents - Copy L1/L2 dependency skills into each agent's .claude/skills/ - Fix buildSystemPrompt to scan ALL skill subdirectories (critical) - Fix agent list sorting: master pinned top, rest by lastActiveAt - Rename master-001→master, innovator-001→innovator - Establish meta agent output convention: write to target agent dir - Add CXO agent base class for management agents - Update CEO agent with delegation-first management model
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- Agent as Micro-Container: each agent lives in data/agents/{id}/ with full encapsulation - Persona vs Capability split: agent.md (identity) + .claude/skills/main_skill/SKILL.md (workflow) - Conversations co-located: data/agents/{id}/conversations/ replaces global dir - Meta Skills renamed: meta_hunt, meta_digest, meta_creator, meta_evolving, meta_benchmark, meta_research - Dynamic Hot-Reload: AgentManager.getAgentConfig() falls back to filesystem scan - Parallel Sub-Agent orchestration via Promise.all with multi-terminal UI - Removed SQLite dependency, global skills/ directory, and legacy conversations/ - Full architecture docs: 18-local-filesystem-first-agent-encapsulation.md