Alibaba-NLP/DeepResearch alternatives

lightweight TypeScript implementation using any LLM; choose it for a simple, vendor-neutral deep research agent.

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.

LLM-agnostic deep research with SSE/MCP support; choose it for flexible model choice and streaming.

Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.

implemented on the OpenAI Agents SDK; choose it if you're already in the OpenAI Agents ecosystem.

An implementation of iterative deep research using the OpenAI Agents SDK

multi-agent research via LangGraph/LangChain; choose it for citation-backed reports with credibility scoring.

Multi-agent autonomous research system using LangGraph and LangChain. Generates citation-backed reports with credibility scoring and web search

framework using progressive search and cross-evaluation; choose it if you want a research agent with explicit cross-checking.

A deep research framework based on progressive search and cross-evaluation.

mature provider-agnostic research agent; choose it for a widely used, flexible deep research tool.

An autonomous agent that conducts deep research on any data using any LLM providers

specialized deep research LLM with strong BrowseComp scores; choose it for high-accuracy research.

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.

minimal open-source deep research agent; choose it for a quick, simple alternative.

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

broader personal AI with memory and agent orchestration; choose it if you want deep research alongside life-logging and multi-agent workflows.

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.

fully local deep research with local LLMs; choose it if you require private, offline research.

Fully local web research and report writing assistant

local-first research platform with verifiable multi-step workflows; choose it if you need cloud/local model switching and provenance.

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.

deep research over private data with RAG; choose it when your source is internal documents, not the web.

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

long-horizon agent harness that includes research; choose it if you need research plus coding/creation in one system.

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

archived LangChain deep-research implementation; choose it only if you need a minimal baseline and don't require maintenance.