AGIOS
Artificial General Intelligence Operating System
Overview
A vision-stage research project: what an operating layer for AI agents looks like - identity, memory, tools, permissions and coordination in one system.
The Problem
As agents multiply, there's no shared layer for them to run on - every agent reinvents identity, memory, permissions and tool access from scratch, and none of them can coordinate with each other safely.
The System
AGIOS is a conceptual operating layer for agents: persistent identity, long-term memory, permissioned tool access, payments, deployment and an agent marketplace, with observability built in from the start rather than added later.
The AI / Automation Layer
Multi-agent coordination and stateful execution sit at the core - agents register capabilities, request permissions, and hand off tasks to each other through a shared protocol instead of point-to-point integrations.
The Outcome
A research direction, not a shipped product - a way of thinking about what happens once agent count outpaces what ad hoc integration can handle.
Future Direction
Formalizing the permission and payment layer, and prototyping agent-to-agent task handoff.
Technology
- Multi-Agent Systems
- Agent Memory
- MCP
- Python
- Stateful Execution
- AWS
Next System
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