MiroFlow

MiroFlow is an open-source research agent framework that performs multi-step internet research for complex challenges.

MiroFlow is an open-source research agent framework designed to perform multi-step internet research and handle complex reasoning tasks such as future event prediction. The modular framework features advanced multi-turn conversation capabilities, extensive tool integrations, and hierarchical sub-agent orchestration. It supports models like GPT, Claude, Gemini, Qwen, and tools including Audio Transcription, Python, File Reading, Google Search, VQA, and E2B. The project runs locally with Python 3.12 and uv, providing reproducible state-of-the-art performance across benchmarks like FutureX, GAIA, HLE, xBench-DeepSearch, and BrowserComp. It is built for developers and researchers seeking to build and deploy intelligent AI agents efficiently.

MiroFlow at a glance

Best for: Researcher, Software engineer
Runs on: Linux, macOS, open source, self-hosted
Pricing: Free
Released: August 2025
Category: AI research tool
Website: github.com/MiroMindAI/MiroFlow

Key features

Perform multi-step internet research
Support tool-assisted reasoning
Integrate multiple language models
Run hierarchical sub-agent orchestration
Handle audio transcription and file reading
Execute code using Python and E2B

Use it for

Predict future events
Analyze documents and research papers
Perform deep web searches
Execute multi-step tasks across benchmarks

Alternatives to MiroFlow

MiroFish — Simulates thousands of autonomous agents to forecast complex real world outcomes.
OpenResearch — Run parallel research workflows locally or on remote compute.
OWL — Ranks first among open-source frameworks on the GAIA benchmark with a score of 69.09.
OpenSquilla — Maximizes AI intelligence density while minimizing token costs through smart routing.
BrowserOS — Runs entirely locally and lets AI agents use real user logins to complete tasks.
MiroThinker — It handles multi-step reasoning and complex research tasks with high stability.
Pagesift — Extracts web data with high memory efficiency and speed for AI agents.
CAMEL — Builds complex multi-agent societies for data generation and simulation.
Pipecat — Builds real-time voice and multimodal agents with frame-level control.
FAROS — Connects literature evidence, executable plans, and human review into an auditable research loop.
Beeuni — Agents retain context and improve skills over time through a controlled review process.
Agent Squad — Runs multi-agent orchestration in Python, TypeScript, and locally on Apple devices.

All MiroFlow alternatives