fully local iterative web research and report writing with LangChain
Fully local web research and report writing assistant
- 9.3k
- Python
- MIT
deep research agents
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
fully local iterative web research and report writing with LangChain
Fully local web research and report writing assistant
supports any LLM via SSE/MCP for model flexibility
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
built on OpenAI Agents SDK, choose if you are in that ecosystem
An implementation of iterative deep research using the OpenAI Agents SDK
multi-agent LangGraph system with credibility scoring and citations
Multi-agent autonomous research system using LangGraph and LangChain. Generates citation-backed reports with credibility scoring and web search
local-first with verifiable multi-step workflows, good for self-hosted models
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.
framework with progressive search and cross-evaluation, built-in validation
A deep research framework based on progressive search and cross-evaluation.
mature Apache-2.0 deep research agent with broad LLM support
An autonomous agent that conducts deep research on any data using any LLM providers
leading open-source deep research agent, strong performance under Apache-2.0
Tongyi Deep Research, the Leading Open-source Deep Research Agent
optimized for complex research and prediction tasks, high BrowseComp score
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.
simple OSS version of OpenAI Deep Research, minimal implementation
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
knowledge curation system that researches and writes full reports with citations
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
focused on searching private data rather than the open web
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
archived predecessor, only if you need the exact historical LangChain implementation
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
personal AI superintelligence app with deep-research capability, not a swap-in library
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.
self-hostable AI second brain app with deep research feature, not a code-level 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.
private AI platform with deep research as a feature, ships as an app/platform
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.
These projects were analysed and named deep-research among their alternatives. The relationship is not symmetric — how deep-research rates them is a separate judgement, made when deep-research is analysed in its own right.
calls deep-research “same deep research agent in TypeScript/Node; choose for a JavaScript stack.”
An autonomous agent that conducts deep research on any data using any LLM providers
calls deep-research “lightweight TypeScript implementation using any LLM; choose it for a simple, vendor-neutral deep research agent.”
Tongyi Deep Research, the Leading Open-source Deep Research Agent
calls deep-research “When you need a lightweight, MIT-licensed TypeScript deep research tool without the full personal AI layer.”
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.