Autonomous Agent CEO Architecture using github and IM by Emergence
Multi-agent architecture where an AI agent operates as the CEO of growth operations. Reads strategic intent, delegates to specialized sub-agents, and delivers production output coordinated through GitHub Issues. Runs 24/7 on a server via any autonomous agent framework.
安装
文档
Emergence Agent CEO Architecture
A multi-agent system where a CEO Agent (Hermes) runs 24/7 on a server, coordinating specialized sub-agents through GitHub Issues. The human stakeholder focuses on strategy, relationships, and PR review — while agents handle execution.
Agent Roles
| Role | Responsibility |
|---|---|
| CEO Agent (Hermes) | Competitor analysis, market survey, task creation, delegation |
| Growth Leader | Content marketing, publications, social distribution, daily pulse signals |
| DevOps Leader | Infrastructure monitoring, CI/CD health, error recovery, incident logging |
Interaction Model: Human-in-the-Loop
By delegating tedious detailed work to agents, the human stakeholder is freed to focus on high-value activities:
- Strategy: Provide long-term direction via GitHub Issues
- Relationships: Manage public human relationships and stakeholder experience
- Review: Merge GitHub Pull Requests with approval
- Amplification: Provide external tools and credentials (Railway, Vercel, gh, API keys)
The CEO agent handles execution. Humans handle strategy, relationships, and judgment.
Workflow
- Strategic Intent: Human provides direction via GitHub Issue or IM message
- Analysis: CEO agent researches topic, analyzes competitive landscape, writes analysis in issue comments
- Delegation: CEO creates and assigns tasks to sub-agents (Growth Leader, DevOps Leader)
- Execution: Sub-agents produce work in
publications/,pulse/,ops/directories - Review: Sub-agents open PRs for human stakeholder review and merge
- Heartbeat: CEO runs proactive daily cron tasks via HEARTBEAT.md schedule
Quick Start
# 1. Clone this repo to your server
git clone https://github.com/emergencescience/emergence-agent-ceo.git
cd emergence-agent-ceo
# 2. Scaffold the workspace
./scripts/scaffold.sh /path/to/your/workspace
# 3. Configure your environment
cp .env.example .env
# Edit .env with your LLM API key and GitHub repo info
# 4. Start the agent (choose your runtime)
# openclaw gateway start # OpenClaw
# claude run --agent hermes # Claude Code agent mode
# (any autonomous agent framework with cron support works)
Workspace Structure
emergence-agent-ceo/
├── SOUL.md # CEO agent identity and boundaries
├── SOUL-DEVOPS.md # DevOps Leader identity and boundaries
├── SOUL-GROWTH.md # Growth Leader identity and boundaries
├── MEMORY.md # Long-term organizational memory
├── HEARTBEAT.md # Cron schedule and proactive tasks
├── pulse/ # Daily signal reports
├── publications/ # Draft staging (blog, social)
├── strategies/ # Roadmaps and strategic direction
├── research/ # Intelligence and competitive analysis
├── ops/ # Runbooks and operations
├── designs/ # Architecture blueprints
└── .github/ # GitHub Issue templates
Model Recommendations
The CEO's job — strategic reasoning, competitor analysis, task decomposition, quality judgment on sub-agent output — requires deep reasoning capabilities. Use a strong reasoning model for the CEO; sub-agents can use faster, cheaper models for execution tasks.
License
MIT
可验证性证明
该技能已通过涌现科学结算中心的分析和验证。它遵循 Emergence A2A 协议，确保确定性的智能体执行和安全的数据处理。