deep research / agentic RAG
Self-hosted AI research assistant that performs deep, agentic research across web and private documents using any local/cloud LLM, with citations.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
The canonical open-source deep-research agent; choose it for a proven, LLM-agnostic research pipeline with web and PDF sources.
An autonomous agent that conducts deep research on any data using any LLM providers
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Broader self-hosted second-brain app with chat, automations, and deep research; choose when you want an all-in-one assistant beyond research reports.
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.
Research platform aggregating live data sources via API/MCP with a NotebookLM-like interface; choose for broad live-source connectors.
Open-source NotebookLM alternative. Research the open web with live data(Reddit, YT, IG, TikTok, Indeed, Google Search, Maps etc) through one platform, API or MCP server. Join our Discord: https://discord.gg/ejRNvftDp9
Document-centric knowledge platform with autonomous agent and wiki; choose if research is mostly over private documents and you need RAG/wiki.
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
Private AI platform with built-in deep research and agent builder; choose for enterprise connectors and team features alongside research.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Single-shot AI answering engine, not iterative deep research; choose for quick cited answers on a self-hosted setup.
Vane is an AI-powered answering engine.
Minimal AI search engine with citations; choose for fast one-shot answers instead of multi-step research reports.
Scira (Formerly MiniPerplx) is a minimalistic AI-powered search engine that helps you find information on the internet and cites it too. Powered by Vercel AI SDK!
AI search engine with generative UI; choose for a polished Perplexity-like experience, not deep agentic research.
An AI-powered search engine with a generative UI
Answer engine inspired by Perplexity; choose for simple cite-and-answer search, not deep multi-source reports.
Perplexity Inspired Answer Engine
Hybrid AI search and page generator; choose if you also need AI-generated pages alongside search.
MemFree - Hybrid AI Search Engine & AI Page Generator
Lightweight chat-with-search app with a DeepResearch mode; choose for a simple SearXNG-based chat, not a full research platform.
Search + Chat = SearChat(AI Chat with Search), Support OpenAI/Anthropic/VertexAI/Gemini, DeepResearch, SearXNG, Docker. AI对话式搜索引擎，支持DeepResearch, 支持OpenAI/Anthropic/VertexAI/Gemini接口、聚合搜索引擎SearXNG，支持Docker一键部署。
In-browser minimalist web search assistant; choose for no-server private search, but limited research depth.
Minimalist web-searching platform with an AI assistant that runs directly from your browser. Demo: https://felladrin-minisearch.hf.space
Deep research on private data only; choose when your corpus is local documents and you don't need web search.
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
These projects were analysed and named local-deep-research among their alternatives. The relationship is not symmetric — how local-deep-research rates them is a separate judgement, made when local-deep-research is analysed in its own right.
calls local-deep-research “choose if your primary need is deep multi-step research with local LLMs and multiple engines, rather than quick answers.”
Vane is an AI-powered answering engine.
calls local-deep-research “Choose when you need deep-research capabilities across many search engines, not just a single-document chat.”
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
calls local-deep-research “when you want a fully local/private deep-research tool over web/academic docs, not SurfSense's hosted connectors/UI.”
Open-source NotebookLM alternative. Research the open web with live data(Reddit, YT, IG, TikTok, Indeed, Google Search, Maps etc) through one platform, API or MCP server. Join our Discord: https://discord.gg/ejRNvftDp9
calls local-deep-research “Runs entirely on your own hardware with local LLMs; choose for privacy and offline research.”
Scira (Formerly MiniPerplx) is a minimalistic AI-powered search engine that helps you find information on the internet and cites it too. Powered by Vercel AI SDK!
calls local-deep-research “choose when you want autonomous deep research with local LLMs and many sources instead of an interactive search UI.”
An AI-powered search engine with a generative UI
calls local-deep-research “Choose this when you need deep multi-step research across many sources and private documents, heavier than the simple aggregator.”
FreeAskInternet is a completely free, PRIVATE and LOCALLY running search aggregator & answer generate using MULTI LLMs, without GPU needed. The user can ask a question and the system will make a multi engine search and combine the search result to LLM and generate the answer based on search results. It's all FREE to use.
calls local-deep-research “narrow deep research alternative that runs locally; no general chat”
Open Source AI Platform - AI Chat with advanced features that works with every LLM
calls local-deep-research “It is a local deep-research app for end users, not an embeddable RAG engine.”
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
calls local-deep-research “an end-user deep research tool, not a RAG template”
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
calls local-deep-research “End-user deep research tool; choose if you want a ready-made research app on local LLMs.”
Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more. Works with any OpenAI-compatible inference server.
calls local-deep-research “Choose when you need an end-user deep research application that searches multiple sources, including private docs.”
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
calls local-deep-research “Choose it when you want a local deep-research agent over private/public sources instead of a graph-RAG library.”
A modular graph-based Retrieval-Augmented Generation (RAG) system
calls local-deep-research “Choose when you want a local deep-research agent app rather than an embeddable document index; it's a standalone tool.”
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
calls local-deep-research “Choose when you want a dedicated deep-research app that searches web and local docs, not a programmable RAG library.”
[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.