MiroFlow

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3103 stars · 325 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MiroFlow is a performance-first open-source agent framework for building, orchestrating, and benchmarking LLM-powered agents, with MiroThinker as its flagship deep research agent model. It supports pluggable LLM providers, multi-agent graph orchestration, a skill system, and reproducible evaluation across benchmarks like GAIA, BrowseComp, HLE, and FutureX.

Use cases

• build a deep research agent that browses the web and answers complex questions
• benchmark and compare different LLMs on agent tasks like GAIA and BrowseComp
• orchestrate multi-agent workflows with sequential agent graphs
• run reproducible agent evaluations from config files
• create custom agent skills without changing framework code
• self-host a web app for research report generation

When to choose

• you need a research/search agent with state-of-the-art benchmark results
• you want fair, reproducible head-to-head LLM agent comparisons
• you want to plug any LLM provider into an agent framework via config
• you need multi-agent orchestration with rollback and retry robustness

When to avoid

• you need a simple chatbot with no research or tool-use requirements
• you want a lightweight agent loop with minimal dependencies
• your workload is unrelated to agentic research or benchmarking

Facets

framework · maturity active

agent-framework llm-inference rag web-scraping benchmarking search-engine artificial-intelligence large-language-models developer-tools python cross-platform deep-research research-agent llm-agents multi-agent-orchestration agent-benchmarks tool-use web-ui ai-agents retrieval-augmented-generation web-server docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="MiroMindAI/MiroFlow")