MiroFlow

Why we included this project

MiroFlow is worth a look if you need an agent that can actually finish multi-step web research rather than hand back a half-baked summary. It gathers and cross-checks information across many pages, runs code when needed, and keeps iterating until it produces a reasoned final answer, the kind of behavior deep-research and forecasting workloads depend on. The framework is model-agnostic: running it on GPT-5, Claude, Kimi, or the self-hostable MiroThinker is a config change, while the tooling, prompts, and rollback logic stay identical, so comparing models on equal footing is straightforward. It also catches common agent failure modes like malformed tool calls and repetitive loops, rolls back, and retries with accumulated error feedback, which means you don't have to babysit every run in production. If you are weighing agent frameworks for reproducible research pipelines, this one deserves a real test drive.