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.
🏆 Top-1 on 5+ benchmarks | Web UI | Supports MiroThinker, Claude, Kimi, OpenAI
A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.
An autonomous research colleague — from a question to a compiled manuscript, while you sleep.
900+ pure-markdown skills for autonomous AI research, organized as 9 freely-composable packages over a 4-layer hierarchy (Campaign → Strategy → Tactic → SOP). Non-linear orchestration with backtracking, 6 MCP integrations. The AI is the researcher — you set the direction.
Give your Hermes agent the web as real sources, never a made-up answer — multi-provider search and extraction with an optional local, key-free DonSeTch option.
[ICML 2025] ResearchTown: Simulator of Human Research Community
A multi-agent AUTO Research loop for idea discovery, experiment execution, evidence-grounded paper writing, quality audit, and live Web observation from AI group, CNIC, CAS.
DeepEvolve is a research and coding agent for new algorithm discovery in different science domains with Deep Research and AlphaEvolve.
Turn ideas into autonomous research with Git-like evidence histories—inspectable, reproducible, and reversible.
🧪 Awesome list of AI Scientist papers, systems, benchmarks, datasets and open-source platforms.
🔍 AI-powered deep research agent with Web UI. Built on smolagents, featuring process-based architecture, MetaSo/DuckDuckGo search, and Docker deployment. Apache 2.0 licensed.
Privacy-safe Hermes researcher for web, GitHub, YouTube, Reddit, documents, source-lineage checks, counterexamples, and decision-ready briefs
Idea-Catalyst is a metacognition-driven framework for helping humans and LLMs boost their creativity during the scientific brainstorming process.
An open-source research system for autonomous investigation, recursive self-improvement, and human–AI collaboration. Run experiments, refine methods through evidence and feedback, and turn traceable research into paper drafts.
Pressure-test research claims with falsifiable evidence plans, adversarial checks, frozen verifiers, and proof ledgers.
Claude Code plugin for autonomous AI research — multi-agent loops take a bare topic all the way to running experiments, with no human-written experimental code.
Open-source deep research for AI agents: 40 channels, 10+ Chinese sources.
Research and scraping agent skeleton: tool loop, loadable skills, fallback chains. No data included, configured via .env.
To associate your repository with the research-agent topic, visit your repo's landing page and select "manage topics."