MicroAgentStack

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🟩 New here? For everything you need to get started or restore context in any support/chat session, see: ONBOARDING.md

🚀 README.md for MicroAgentStack

# MicroAgentStack – Automated Modular Agent Framework

**Element Ark / MicroAgentStack**  
_A fully open-source, modular AI agent orchestration framework. Designed for automation, scalability, and best-in-class operational reliability._

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## **Project Goals**

- Enable rapid, automated deployment of modular AI “microagents” (each a containerized FastAPI service)
- Centralize agent metadata for versioning, documentation, and future scaling
- Use best practices from OpenAI-level orchestration: easy onboarding, zero drift, repeatable builds, robust documentation

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## **System & Environment**

- **OS:** Windows 11 Pro, WSL2/Ubuntu 22.04
- **CPU:** AMD Threadripper Pro 7965WX
- **GPU:** 2× NVIDIA RTX 5090
- **RAM:** 512GB
- **Main Storage:** 4TB Samsung 1900 Pro SSD (+40TB+ archive)
- **Dev Tools:** Docker Desktop, VS Code, GitHub Desktop, PowerShell, Ubuntu Terminal

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## **Project Structure**

MicroAgentStack/ ├── agent_manifest.json # Master manifest – all agent metadata (edit this first!) ├── agents/ │ ├── ResearchAgent/ │ │ ├── main.py │ │ ├── requirements.txt │ │ ├── Dockerfile │ │ ├── openapi.yaml │ │ └── README.md │ └── ... # Other agents ├── docker-compose.yml # Orchestrates all agents as containers ├── generate_all_agent_files.py # "Super Generator" – keeps all agents/files in sync with manifest ├── Other generator scripts... # (e.g., inject_fastapi_metadata.py) └── README.md # (this file)

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## **How It Works**

- **All agent definitions live in `agent_manifest.json`** (name, purpose, version, functionality)
- **Run `generate_all_agent_files.py`** after any manifest change—this creates/updates:
    - `main.py` (FastAPI scaffold with full docstring metadata)
    - `requirements.txt`
    - `Dockerfile`
    - `openapi.yaml`
    - `README.md` for each agent
- **Launch all agents** using Docker Compose:  
  ```bash
  docker compose up --build -d

• Interact with agents via REST endpoints (see each /docs or /openapi.yaml)

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Quick Start

1. Clone repo & install dependencies

   git clone https://github.com/YourUsername/MicroAgentStack.git
   cd MicroAgentStack

2. Edit agent_manifest.json to define/update your agents.

3. Run the Super Generator to scaffold/update all agents:

   python3 generate_all_agent_files.py

4. Launch agents:

   docker compose up --build -d

5. Access each agent:

   • Each will run on its own port (see docker-compose.yml)
   • Visit http://localhost:<PORT>/docs for Swagger UI

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Best Practices

• Always update agent_manifest.json first!
• After any manifest edit, run the generator to keep everything in sync.
• Don’t manually edit generated files unless you know what you’re doing—custom logic should be modular or extendable.
• Track all changes in Git.
• Periodically review the manifest for version bumps and deprecations.

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Roadmap

• Super Generator improvements (custom requirements per agent, auto-tests, plugin support)
• Advanced orchestration (auto-discovery, agent federation, multi-tenant isolation)
• DevOps automation (CI/CD integration, health monitoring)
• Community contributions welcome!

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Contact / Support

• Maintained by Element Ark / FlexNetOS
• For onboarding, open a GitHub issue or start a new ChatGPT session and provide your current agent_manifest.json and project files.

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Let’s build AI automation the right way—modular, open, and future-proof.

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## **Next Up:**  
**Re-usable onboarding context block for new sessions or team members**—coming in my next message.