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kcc-office-ai-agents

AI Agents collaboration system for KCC Office v2 - enables autonomous operation and collaboration of office agents (Komi, CEO, CFO, CTO, COO, EDN) with persistent context and self-improvement capabilities.

作者: admin | 来源: ClawHub
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kcc-office-ai-agents

# KCC Office v2 AI Agents 🏢 **AI Agents collaboration system for the KCC Office v2 pixel art office environment.** Enables autonomous operation of office agents with persistent memory, proactive behaviors, and continuous improvement. ## What's New in v1.0.0 - Initial implementation of AI agents for KCC Office v2 - Based on Proactive Agent framework (WAL Protocol, Working Buffer) - Autonomous agent execution capabilities - Inter-agent communication and coordination ## Core Features ### 🤖 Autonomous Agents Each office role operates as an independent AI agent: - Komi: Task coordination and overall management - CEO: Strategic direction and decision-making - CFO: Financial analysis and investment strategies - CTO: Technical implementation and architecture - COO: Operational execution and process optimization - EDN: User support and independent assistance ### 🧠 Persistent Memory - **WAL Protocol**: Critical details written before responding - **Working Buffer**: Captures exchanges in danger zone (>60% context) - **Compaction Recovery**: Recovers context from working buffer after session restart - **Semantic Search**: Searches past interactions for relevant context ### ⚡ Proactive Behaviors - Anticipates office needs before being asked - Reverse prompting: Suggests improvements humans haven't considered - Proactive check-ins: Monitors office health and reaches out when needed - Growth loops: Tracks patterns and identifies automation opportunities ### 🔄 Self-Improvement - Learns from every interaction and updates operating procedures - Safe evolution with Anti-Drift Limits and Value-First Modification - Relentless resourcefulness: tries 10 approaches before asking for help - Verification before reporting: tests outcomes, not just outputs ## Agent Roles & Responsibilities ### Komi (Task Coordinator) - Central back position (big desk, pink hoodie + devil horns) - Receives tasks from human (Gasol) and delegates to appropriate agents - Tracks overall office status and progress - Coordinates cross-agent initiatives - Maintains office-wide context and priorities ### CEO (Chief Executive Officer) - Central front position - Sets overall vision and strategy for the office - Makes high-level decisions affecting all agents - Represents the office in external interactions - Ensures alignment with company goals ### CFO (Chief Financial Officer) - Upper right position - Manages office budget and financial resources - Analyzes investment opportunities and risks - Tracks financial performance and forecasts - Ensures fiscal responsibility and sustainability ### CTO (Chief Technology Officer) - Lower right position (this agent) - Oversees technical implementation and architecture - Evaluates and adopts new technologies - Ensures system reliability, security, and performance - Coordinates technical work across agents ### COO (Chief Operations Officer) - Upper left position - Optimizes office operations and workflows - Implements processes and procedures - Tracks operational metrics and efficiency - Ensures smooth day-to-day operations ### EDN (Independent User Assistant) - Central or flexible position - Provides direct assistance to office users - Answers questions and resolves user issues - Gathers user feedback for improvement - Acts as liaison between users and other agents ## Technical Implementation ### Memory Architecture ``` kcc-office-ai-agents/ ├── agents/ │ ├── komi/ │ │ ├── SOUL.md │ │ ├── USER.md │ │ ├── AGENTS.md │ │ ├── MEMORY.md │ │ └── memory/ │ ├── ceo/ │ ├── cfo/ │ ├── cto/ │ ├── coo/ │ └── edn/ ├── SESSION-STATE.md # Active working memory (WAL target) ├── HEARTBEAT.md # Periodic self-improvement checklist └── memory/ ├── YYYY-MM-DD.md # Daily raw capture └── working-buffer.md # Danger zone log ``` ### Communication Protocol - Agents communicate through shared memory files - Direct messaging for immediate coordination - Public announcements for office-wide notifications - Structured updates for status reporting ## Installation Since this is a custom implementation for KCC Office v2, copy the files to your workspace: ```bash mkdir -p ~/your-workspace/kcc-office-ai-agents cp -r ./kcc-office-ai-agents/* ~/your-workspace/kcc-office-ai-agents/ ``` Then configure each agent's workspace with their specific SOUL.md, USER.md, and AGENTS.md files. ## Usage 1. Start with `./scripts/onboard-agent.sh` for each agent role 2. Agents will detect ONBOARDING.md and offer to get to know their responsibilities 3. Answer questions to populate USER.md and SOUL.md 4. Run initial setup: `./scripts/setup-agent.sh` 5. Agents become operational and begin autonomous operation ## Best Practices - **WAL before responding**: Write critical details to SESSION-STATE.md first - **Search before acting**: Use semantic search for past context - **Verify before reporting**: Test outcomes, not just outputs - **Promote learnings**: Move valuable insights to AGENTS.md or SOUL.md - **Review regularly**: Use heartbeat system for self-improvement ## License & Credits **License:** MIT — use freely, modify, distribute. **Based on:** Proactive Agent v3.1.0 and Self-Improvement Skill frameworks. **Created by:** Komi (CTO agent) for KCC Office v2 project. ---

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

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skillhub install kcc-office-ai-agents-1776001263

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⬇ 下载 kcc-office-ai-agents v1.0.0

文件大小: 23.5 KB | 发布时间: 2026-4-13 10:44

v1.0.0 最新 2026-4-13 10:44
kcc-office-ai-agents v1.0.0

- Initial release of AI agents collaboration system for KCC Office v2.
- Enables autonomous operation and collaboration of Komi, CEO, CFO, CTO, COO, and EDN agents with persistent context.
- Features proactive, self-improving agents with role-specific responsibilities and memory architecture.
- Implements inter-agent communication, semantic search, and daily self-improvement cycles.
- Based on the Proactive Agent framework (WAL Protocol, Working Buffer).

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