# Agent systems

Agent runtimes, handoffs, tools, and the boundaries that make them reviewable.

Canonical: https://rangoon.ai/insights/topics/agents/

## Topics
- [Agent systems](https://rangoon.ai/insights/topics/agents/): Agent runtimes, handoffs, tools, and the boundaries that make them reviewable.
- [Governance](https://rangoon.ai/insights/topics/governance/): Policy, identity, authorization, approvals, and evidence for consequential work.
- [Infrastructure](https://rangoon.ai/insights/topics/infrastructure/): Model serving, sandboxes, tool services, and deployment boundaries.
- [Models](https://rangoon.ai/insights/topics/models/): Inference choices, local serving, compatibility, and operational tradeoffs.

## Stories
- [OpenShell and NemoClaw draw a cleaner line around agents](https://rangoon.ai/insights/nvidia-openshell-nemoclaw-boundaries/)
  NVIDIA's OpenShell and NemoClaw split the agent harness from its runtime controls. That separation gives security reviews clearer seams to inspect.
- [A2A v1.0 makes agent handoffs easier to inspect](https://rangoon.ai/insights/a2a-v1-stable-agent-handoffs/)
  A2A v1.0 stabilized an open protocol for agent-to-agent work. The milestone makes interfaces and version migration more concrete for builders.
- [MCP tools: useful transport, separate authority](https://rangoon.ai/insights/mcp-tools-authorization-boundaries/)
  Understand MCP hosts, clients, servers, tools, consent, and Rangoon’s exact-action authorization boundary before connecting agent systems safely.


## More information

- [Documentation index](https://rangoon.ai/llms.txt)
- [AI access and policies](https://rangoon.ai/ai/)
- [Source repository](https://github.com/hypler-dev/rangoon)