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## 🕸️ Graph-based Framework
- Multi-agent systems are represented as graphs, where each agent is a node in the graph.
- RowBoat Agents uses a stateless Directed Acyclic Graph (DAG).
- RowBoat Agents accepts Directed Acyclic Graph (DAG) workflows, which define agents, tools, and their connections.
- Configure workflows using the RowBoat Studio (UI) with the help of an AI copilot. Setup instructions can be found in the [main README](https://github.com/rowboatlabs/rowboat/tree/dev).
- The framework is stateless, meaning that it requires the upstream service to pass in the current `state` and `messages` in every turn.
- At each conversation turn:
- The graph is traversed based on `messages`, `state`, and `workflow` (which defines agents, tools, and their connections).
- Configure Workflows using the RowBoat Studio (UI) with the help of an AI copilot. Setup instructions can be found in the [main README](https://github.com/rowboatlabs/rowboat/tree/dev).
- Each turn starts with a fresh graph, generating the next `messages` and `state`, which the upstream service displays to the user.
- If `messages` contain tool calls, the upstream service invokes the necessary tools and sends the result back to continue the interaction.
- The agents are initialized using the current `state`.
- The graph is traversed based on `messages`, `state`, and `workflow`
- Response `messages` and a new `state` are generated.
- If `messages` contain tool calls, the upstream service must invoke the necessary tools and send the tool results back to continue the interaction.
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