A lot of discussions focus on agent workflows and running multiple agents in parallel. But in practice, many people are still managing this in a very manual way: a handful of terminals, own window, switching between them by hand. It works for small experiments, but once the workflow becomes more complex, things start to break down. It becomes difficult to track what each agent knows, what has already been done, and how different agents should share information. That’s the reason why we need multi-agent orchestration. I’ve looked into several tools exploring agent-based collaborative workflows: AutoGen- Developed by Microsoft. Supports agents discussing with one another, invoking tools, and breaking down tasks Anvita flow- Explores networked patterns that allow different agents to discover each other, leverage specialized capabilities, and collaborate to complete tasks. Claude Code- Enables Claude to work directly in a coding environment, helping with code understanding, editing, debugging, testing, and project management. Claude flow- agent orchestration platform for claude. multi-agent swarms and autonomous workflows CrewAI- Emphasizes role assignment, task workflows, and team-style collaboration. Saw the latest updates regarding Claude’s continuous improvements in models and tools, and I look forward to seeing how these advancements shape the future of agent-based workflows. submitted by /u/dao_passerby
Originally posted by u/dao_passerby on r/ArtificialInteligence