Aidevos
Description
🤖 AIDevOS: AI-Driven Autonomous DevOps System | Multi-agent collaboration framework with DSPy integration for automated application development and deployment via Durable Objects
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
AIDevOS
Multi-agent system where AI agents (PM, Backend, Frontend, DevOps, QA, Security) collaborate to architect and deploy SaaS applications. Uses Durable Objects as modular microservices.
What It Does
- Accepts a product spec or business requirement
- AI agents discuss and refine the architecture via debate/reflection cycles
- Generates task breakdowns, architecture docs, and deployment configs
- Intended to write, test, and deploy code iteratively via a CI/CD pipeline
Agents
| Agent | Role |
|---|---|
| PM | Requirements gathering, task breakdown |
| Backend Dev | Backend architecture and code |
| Frontend Dev | UI implementation |
| DevOps | Infrastructure and deployment |
| QA | Testing and validation |
| Security | Vulnerability management |
| UX | User experience design |
Agents are implemented in `src/agents/` using a base agent class with DSPy modules for LLM interaction.
Stack
| Component | Technology |
|---|---|
| Language | Python 3.10+ |
| AI | OpenAI, LangChain, DSPy |
| API | FastAPI + Uvicorn |
| Security | PyJWT, Cryptography, Bandit |
| Architecture | Durable Objects (concept), multi-agent collaboration |
Project Structure
src/
agents/ # PM, Dev, DevOps, UX, QA, Security agents
config/ # DSPy configuration
deployment/ # Deployment logic
ai_team_collaboration.py
config/
deployment/ # YAML deployment configs
durable_objects.json
docs/
architecture/ # 10+ architecture documents
examples/
self_modifying_agent.py
projects/ # Generated project artifacts (2 notification-system projects)
Setup
git clone https://github.com/jmanhype/aidevos.git
cd aidevos
pip install -r requirements.txt
cp .env.example .env
# Edit .env with API keys
Status
Architectural prototype. The documentation is extensive (10+ architecture docs, Claude Code integration guides, agent SOPs) but the actual running system appears incomplete. The `p
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