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MiroThinker is a deep research agent optimized for complex research and prediction tasks. Our latest models, MiroThinker-1.7 and MiroThinker-H1, achieve 74.0 and 88.2 on the BrowseComp, respectively.
🔍 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.
The CrewAI Research Assistant is a powerful tool designed to help users explore any topic using AI Agents. Built with CrewAI, Exa, and Streamlit, this assistant supports multiple large language models (LLMs) and offers advanced answering capabilities through Exa. It visualizes the research process in real-time, generates structured research reports
N8N Multi-Agent Telegram Bot: An intelligent, modular personal assistant system built with N8N. Integrates calendar, tasks, email, memory, research, and project management via specialized AI agents, all accessible through Telegram.
An autonomous research agent that synthesizes detailed reports by combining dynamic planning, unsupervised topic discovery (PCA/KMeans) HyDe (hypothetical doc embeddings), and a self-correcting reflexion loop.
An autonomous AI research assistant that runs from the system tray. It uses LangChain to plan, browse, and synthesize web data into comprehensive Markdown reports using local (LM Studio) or cloud LLMs.