• 1. 根治所有模板 Agent残留的过往公司(LemonV)私人记忆,使其诞生即为全新白纸状态。
    2. 提取出统一的 `methodology.md` 基类 Prompt,通过 `agent-chat.js` 强力注入。
    3. 从 Master 到各路 Agent 都将强制遵循【从大脑到小脑】的不硬编码理念。
    4. 全面引入统一的基础方法论(Harness):学习(Research) -> 规划(Planning) -> 执行(Execute) -> 验证(Verify)
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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
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