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900+ pure-markdown skills for autonomous AI research, organized as 9 freely-composable packages over a 4-layer hierarchy (Campaign → Strategy → Tactic → SOP). Non-linear orchestration with backtracking, 6 MCP integrations. The AI is the researcher — you set the direction.

Together Open Deep Research

An interactive 3D globe that lets you explore the history of any location on the planet. Born from a love of "doom-scrolling" Google Maps and learning about random islands, untouched places, and interesting geographical areas - History brings deep historical research to your fingertips.

A slim tensorflow wrapper that provides syntactic sugar for tensor variables. This library will be helpful for practical deep learning researchers not beginners.

Open-source spreadsheets platform for deep research and document processing

MCP server for enabling LLM applications to perform deep research via the MCP protocol

Deep Research for your internal data

(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.

AI-native CLI for trading Kalshi prediction markets. Runs deep fundamental research, generates independent probability estimates, computes edge vs. live order books, and executes trades with Kelly sizing and a 5-gate risk engine.

A deep learning library for streamlining research and development using the Torch7 distribution.