deep research agent
MiroThinker is a Python deep research agent optimized for complex research and prediction tasks, achieving strong results on BrowseComp benchmarks.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Use if you want a Python/Apache deep research agent with provider-agnostic LLM support and a large active ecosystem.
An autonomous agent that conducts deep research on any data using any LLM providers
Use if you want a Python/Apache deep research framework based on progressive search and cross-evaluation.
A deep research framework based on progressive search and cross-evaluation.
Use if you want a direct open-source deep research agent from Tongyi with a comparable architecture.
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Use if you want a NeurIPS 2025 deep-research agent that augments large reasoning models for web search.
[NeurIPS 2025] 🌐 WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Use if your deep research must reason over private/local documents rather than the public web.
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Use if you want a JavaScript/Node deep research service with SSE/MCP integration.
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
Use if you prefer a minimal deep-research implementation built on the OpenAI Agents SDK.
An implementation of iterative deep research using the OpenAI Agents SDK
Use if you are already in the LangGraph/LangChain ecosystem and want a multi-agent research pipeline.
Multi-agent autonomous research system using LangGraph and LangChain. Generates citation-backed reports with credibility scoring and web search
Use if you need fully local web research and report writing without external API calls.
Fully local web research and report writing assistant
Use if you want a structured knowledge-curation pipeline that generates a cited report from a topic.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Use if you want a minimal TypeScript deep research library for JavaScript/Node projects.
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
Use if you want an autonomous research agent that goes from an idea to a full paper.
Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Use if you want a simpler, minimal deep-research implementation; it is older and less capable.
Deeper Seeker is an simpler OSS version of OpenAI's latest Deep Research feature in ChatGPT.It is an agentic research tool to reason , create multi step tasks , synthesize data from multiple online resources and create neat reports
Use if you want a LangChain-based deep research agent; it is archived, so for legacy use only.
Use if you want a simple archived deep-research report generator in TypeScript.
Open source alternative to Gemini Deep Research. Generate reports with AI based on search results.
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
Use if you want a ready-to-run local-first research platform with cloud/self-hosted model flexibility.
Cerno is a local-first research platform that leverages agentic AI to break down complex queries into verifiable, multi-step workflows. Switch seamlessly between cloud LLMs and self-hosted models, track every reasoning step, and optimize cost and tokens—all while keeping your data on your machine.
Use if you want a personal AI assistant app with deep-research as one feature, rather than an embeddable agent.
Your Personal AI super intelligence. A brain that builds a local-first memory of your life, a fantastic orchestrator of agent fleets and workflows, and a deep researcher.
Use if you want a self-hostable AI second-brain app with deep research as a feature, not a drop-in library.
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
Use if you want a local general-purpose autonomous agent app that can browse the web and code.
Fully Local Manus AI. No APIs, No $200 monthly bills. Enjoy an autonomous agent that thinks, browses the web, and code for the sole cost of electricity.
Use if you want a fully automated personal research assistant app rather than an embeddable framework.
"Your Fully-Automated Personal AI Assistant"
These projects were analysed and named MiroThinker among their alternatives. The relationship is not symmetric — how MiroThinker rates them is a separate judgement, made when MiroThinker is analysed in its own right.
calls MiroThinker “Use when you need a research agent optimized for complex, prediction-oriented queries with strong BrowseComp performance.”
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
calls MiroThinker “specialized deep research LLM with strong BrowseComp scores; choose it for high-accuracy research.”
Tongyi Deep Research, the Leading Open-source Deep Research Agent
calls MiroThinker “optimized for complex research and prediction tasks, high BrowseComp score”
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
calls MiroThinker “Deep research agent optimized for complex/prediction tasks; choose for stronger benchmark performance.”
Fully local web research and report writing assistant
calls MiroThinker “Choose for optimized web research and prediction tasks with strong benchmark scores, instead of private-data-centric workflows.”
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
calls MiroThinker “When you need a research agent optimized for high-accuracy browse-and-complete tasks.”
Your Personal AI super intelligence. A brain that builds a local-first memory of your life, a fantastic orchestrator of agent fleets and workflows, and a deep researcher.
calls MiroThinker “narrower: deep research agent for search/comprehension benchmarks, not experiment execution.”
Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞