Mirothinker — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Mirothinker. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Apr 25, 2026 • Sentiment updated: Jun 24, 2026

GitHub Statistics

Community Sentiment

Community Buzz: According to a post on Dev.to, 'I built a custom status line for Claude Code', and on GitHub, a user said 'MiroThinker-1.7 and MiroThinker-1.7-mini (Best search agent model?)'

Pros & Cons

What People Love

Accurate results, Reddit users praise its effectiveness, Dev.to users appreciate its customizability

Common Complaints

Security concerns, Complex setup

Biggest Positive: Accurate results

Biggest Negative: Security concerns

Why Mirothinker Stands Out

MiroThinker is different from alternatives due to its enhanced post-training pipeline, which enables SOTA performance in deep research tasks among open-source models. Its support for interactive scaling, long-horizon reasoning, and deep multi-step analysis makes it a unique solution for research agents. Additionally, MiroThinker's comprehensive suite of tools and workflows provides flexibility and customizability for diverse research scenarios.

Built With

Build a deep research agent for financial prediction — MiroThinker's enhanced post-training pipeline enables SOTA performance in deep research tasks among open-source models, Build an interactive scaling system for research agents — MiroThinker's support for 256K context window and up to 300 tool interactions per task allows for long-horizon reasoning and deep multi-step analysis, Build a reliable agent for long-chain tasks — MiroThinker's comprehensive suite of tools and workflows flexibly support diverse research scenarios, Build a search agent that achieves state-of-the-art performance on BrowseComp and GAIA-Val-165 — MiroThinker's proprietary agent MiroThinker-H1 achieves leading performance among open-source and commercial models, Build a research report generation system with extended document upload types — MiroThinker online supports generation, preview, and sharing of deep research reports

Getting Started

  1. Install MiroThinker using pip: `pip install miromind-ai`
  2. Configure the environment variables: `export MIROMIND_AI_HOME=/path/to/miromind-ai`
  3. Download the pre-trained models: `python download_pretrained_models.py`
  4. Start the MiroThinker server: `python start_server.py`
  5. Try the interactive demo to verify it works: `http://localhost:8080/demo`

About

MiroThinker is a deep research agent optimized for complex research and prediction tasks. Our latest models, MiroThinker-1.7, achieves 74.0 and 75.3 on the BrowseComp and BrowseComp Zh, respectively.

Official site: https://miromind.ai/

Category & Tags

Category: research

Tags: agent, agent-framework, browsecomp, deep-research, futurex, gaia, hle, research-agent, search-agent, xbench

Market Context

Competing with other AI search agents