What each tool is actually for, described plainly. No ratings, no scores, no invented benchmarks.
Research agents: Agents pointed at a question rather than a codebase. They search, read and produce a written answer with sources.
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.
github.com/dzhng/deep-research
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.
github.com/bytedance/deer-flow
An autonomous agent that conducts deep research on any data using any LLM providers
github.com/assafelovic/gpt-researcher
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
github.com/stanford-oval/storm