MiroThinker is an open-source search agent model, built for tool-augmented reasoning and real-world information seeking, aiming to match the deep research experience of OpenAI Deep Research and Gemini Deep Research.
MiroMind Research Agent: Fully Open-Source Deep Research Agent with Reproducible State-of-the-Art Performance on FutureX, GAIA, HLE, BrowserComp and xBench.
[ICML 2025] ResearchTown: Simulator of Human Research Community
DeepEvolve is a research and coding agent for new algorithm discovery in different science domains with Deep Research and AlphaEvolve.
AI dev that actually gets things done
Your personal deep research ai agent
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.
FML-bench: A Benchmark for Automatic ML Research Agents Highlighting the Importance of Exploration Breadth
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.
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
Deep researcher using langchain-ollama with deepseek-1.5b model.
A multi-agent AI research assistant built with OpenAI Agents SDK and Firecrawl for deep, automated web research.
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.
research agent, which helps fetch and summarize the articles from internet
full-stack research assistant (FastAPI + OpenAI + SerpAPI) with live web search, citation generation, and content filtering to reduce hallucinations.
A multi-phase pipeline for automated academic research. The system discovers papers, constructs a vector-indexed library, generates structured documents with inline citations, and iterates through peer review until acceptance criteria are met.
In this we implement research agent using agno with groq llm
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Multi-agent AI research system with LangGraph, FastAPI & RAG. Parallel research orchestration inspired by OpenAI Deep Research.
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