Aflow: build multi-agent workflows using ACP
Aflow is an open-source tool built on ACP (Agent Communication Protocol) that lets you design workflows where multiple AI agents hand off tasks to each other in sequence. It aims to make multi-agent automation easier to set up without deep coding expertise.
When a single AI agent isn't enough to handle a complex task, chaining multiple agents together in a workflow is a common approach. Each agent handles one specific step, passing results to the next — which keeps each agent focused and avoids wasting tokens on tasks outside its role.
Aflow uses ACP, a standard protocol that defines how agents communicate with each other, to wire these steps together. By clearly defining what each agent does and what data it passes along, Aflow helps you build efficient pipelines where only the necessary work happens at each stage — reducing unnecessary token usage and making the overall system easier to debug and extend.
Key points
- Uses ACP to connect multiple AI agents into a structured, step-by-step workflow
- Splitting tasks across focused agents reduces wasted token usage per step
- Open-source, so you can adapt it to your own agent setup
- Useful starting point for anyone designing their first multi-agent pipeline
- Clear role boundaries between agents make workflows easier to debug
Quick term guide
- open-source
- Software whose code is shared publicly so others can inspect, use, or change it.
- workflows
- The specific order of steps taken to finish a piece of work.
- workflow
- A repeatable set of steps for getting a task done.
- AI agents
- AI agents are AI tools that can carry out steps toward a goal, not just answer once.
- multi-agent
- A setup where several AI agents each handle a different subtask and work together to complete a larger goal.
- automation
- A way to make repeated work happen without doing every step by hand.
- multi-agent pipeline
- A setup where several AI agents each handle part of a task and pass results between each other.
- agent pipeline
- A sequence of automated steps where an AI model plans, uses tools, and produces results with little human input