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## 📝 Overview
- RowBoat Agents is a multi-agent framework that powers conversations using agentic workflows.
- Built on top of [OpenAI Swarm](https://github.com/openai/swarm) with custom enhancements and improvements. Check the `NOTICE.md` for attribution and licensing details (MIT license).
- Built on top of [OpenAI Swarm](https://github.com/openai/swarm) with custom enhancements and improvements. Check the [NOTICE](https://github.com/rowboatlabs/rowboat/blob/main/apps/agents/NOTICE.md) for attribution and licensing details (MIT license).
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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 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).
- 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).
- 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 agents are initialized using the current `state`.