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Autonomous Agent CEO Architecture 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 deliver...
多智能体架构,AI代理担任增长运营的CEO,读取战略意图,委托给专业子代理,并交付...
emergencescience
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#autonomous#ceo#cron#github#latest#multi-agent

概述

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

RoleResponsibility
:---:---
CEO Agent (Hermes)Competitor analysis, market survey, task creation, delegation
Growth LeaderContent marketing, publications, social distribution, daily pulse signals
DevOps LeaderInfrastructure 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

  1. Strategic Intent: Human provides direction via GitHub Issue or IM message
  2. Analysis: CEO agent researches topic, analyzes competitive landscape, writes analysis in issue comments
  3. Delegation: CEO creates and assigns tasks to sub-agents (Growth Leader, DevOps Leader)
  4. Execution: Sub-agents produce work in publications/, pulse/, ops/ directories
  5. Review: Sub-agents open PRs for human stakeholder review and merge
  6. 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

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-05-08 04:12 安全 安全

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腾讯云安全 (Sanbu)

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