- name
- kcc-office-ai-agents
- version
- 1.0.0
- description
- 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.
- author
- komi
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 logCommunication 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:
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
- Start with
./scripts/onboard-agent.shfor each agent role - Agents will detect ONBOARDING.md and offer to get to know their responsibilities
- Answer questions to populate USER.md and SOUL.md
- Run initial setup:
./scripts/setup-agent.sh - 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.