Compare OpenRig to other approaches
Multi-agent harnesses and topologies are still an emerging category. Most people do not have a stable mental model for the space yet. These comparison pages exist to make the shape of the category legible fast, not to force everything into a fake one-dimensional ranking.
Some approaches keep everything inside a single coding session. Some run managed agents in the cloud. Some come from the older multi-agent-framework world. OpenRig comes from a different direction: explicit topology, visible nodes, and infrastructure you can actually operate. Use the pages below to compare the main approaches, see where OpenRig fits, and decide which model matches how you want to work.
Browse the comparison pages
Quickly build a mental model for multi-agent harnesses and topologies by comparing the leading approaches, including more traditional multi-agent systems.
Claude Managed Agents
The cloud-hosted version of this idea, Claude-only.
Claude Agent Teams
Multi-agent coordination inside Claude Code itself.
Claude Subagents
Delegated specialist workers inside one lead Claude workflow.
CrewAI
Python framework for building agents from LLM API calls.
n8n
Workflow automation with AI nodes, adjacent but a different category.
OpenClaw
Agent-first methodology with a huge community.
Paperclip
Agents running like a company, coordinated through a ticket queue.
Try OpenRig
If you want to go beyond comparisons and see a persistent, cross-runtime topology you can operate from the terminal, start here.