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Translated微舆 (Weiyu, "micro public opinion"): a multi-Agent public opinion analysis assistant that anyone can use. It breaks information cocoons, restores the original picture of public opinion, predicts future trends, and assists decision-making! Implemented from scratch, without relying on any framework.
Vane is an AI-powered answering engine.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
An autonomous agent that conducts deep research on any data using any LLM providers
Tongyi Deep Research, the Leading Open-source Deep Research Agent
"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
The Harness of Harnesses • Super Agent: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
The open-source AI workbench for scientific research
TranslatedVibe-Research: A research workbench for China A-shares, US and HK stocks · watchlist and holdings, daily review, industry news, industry research, in-depth stock analysis, backtesting, research report library, 168 data endpoints. Supports Claude Code, Codex, WorkBuddy subscriptions or any model API.
A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software. Powered by llama.cpp.
A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.
A python program that turns an LLM, running on Ollama, into an automated researcher, which will with a single query determine focus areas to investigate, do websearches and scrape content from various relevant websites and do research for you all on its own! And more, not limited to but including saving the findings for you!
A harness optimized to smaller LLMs
A股 AI 投研
Trading-R1: Agentic Finance Research
FOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence