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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.
800+ pure-markdown skills for autonomous AI research. Non-linear orchestration with backtracking, 4-layer military hierarchy (Campaign → Strategy → Tactic → SOP), 5 MCP integrations. The AI is the researcher — you set the direction.
🔍 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.
TreeThinkerAgent is a lightweight orchestration layer that turns any LLM into an autonomous multi-step reasoning agent. It supports multi-step planning, tool execution, and final synthesis while exposing the entire reasoning process as a tree you can explore.
Open Source Deep Research and Learning Agent (Perplexity Pro Alternative). Orchestrates autonomous researchers using LangGraph, Python, and Next.js for students, developers, and lifelong learners.
Reliable research infrastructure for AI agents. Evidence-backed web search with citations, confidence scores, and Clarity anti-hallucination. MCP server, REST API, Python SDK.
AI-powered research assistant that combines intelligent web research, beautiful formatting, and automated email delivery. This full-stack application leverages n8n automation workflows to provide seamless research experiences with professional presentation.
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.