AIOS is the intelligence layer for the APPNEURAL operating system portfolio. It is designed to collect, route, evaluate, and operationalize AI capabilities across products, workflows, agents, automations, and customer-facing experiences.
Modern teams need AI systems that are useful, governed, observable, and easy to integrate. AIOS provides the foundation for model orchestration, prompt and agent patterns, context management, evaluation workflows, policy controls, and reusable AI services.
- Model and provider orchestration
- Agent workflow design
- Prompt and tool execution patterns
- Evaluation and quality checks
- Context, memory, and knowledge retrieval patterns
- Safety, governance, and audit readiness
- Shared AI service interfaces for other OS repositories
- Build intelligent assistants for internal operations
- Add AI-powered recommendations to product and commerce systems
- Evaluate model output quality before release
- Standardize reusable agent behaviors across teams
- Connect AI services with automation, analytics, and customer workflows
This repository will hold architecture notes, implementation modules, prompts, evaluation assets, service adapters, examples, and operational guidance for APPNEURAL AI systems.
- Define shared AI service contracts
- Add prompt and agent templates
- Add evaluation datasets and scoring workflows
- Add observability patterns for AI interactions
- Publish examples for integration with AutomationOS, ProductOS, and ClientOS
ai agents llm automation evaluation governance appneural operating-system
Part of the APPNEURAL-OSs organization.