Independent topic desk
Agents
Always-on, persistent, local and self-hosted systems—explained through outcomes, state and authority.
An agent system connects model judgment to tools and an execution loop. Persistence, recurrence and autonomy are different dimensions: retained state does not grant authority, and a schedule does not establish reliable reasoning. Evaluate systems by their actual permissions, recovery behavior, source provenance and verifiable outputs.
AstraAEON's working definitions connect technical concepts to reviewable workflows. Begin with one read-only job and a bounded budget. Compare it with a manual baseline before enabling recurrence. Tool access, approvals and stop conditions should be explicit even when a model appears capable.
Guides & practical work
What Are Always-On AI Agents?
A practical definition of agents that continue work across time, triggers and state.
Persistent Agent vs AI Chatbot
A clear comparison of turn-based chat and long-running agent responsibilities.
What Is an Agent Runtime?
The execution layer that connects a model to state, tools, approvals and observability.
How Human Approval Works in AI Agents
Design approval gates that preserve speed while keeping authority with people.
Cloud Agents vs Local Agents
A decision framework for choosing where an agent runs and where its data can travel.