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Aidevos

DevOps community

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

  1. Accepts a product spec or business requirement
  2. AI agents discuss and refine the architecture via debate/reflection cycles
  3. Generates task breakdowns, architecture docs, and deployment configs
  4. 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