Research

Primus is an autonomous AI researcher that hypothesizes, reads papers, writes code, runs experiments on compute, and drafts research papers. The page shows example tasks, published-paper claims, waitlist access, and positioning for ML research workflows.

OpenScience is an open-source AI workbench for scientific research. It can read papers, plan hypotheses, write and run code, manage experiments, query scientific databases, and present results in a browser-based workspace.

An interactive dashboard that analyzes New York Times coverage since 2000 using the NYT Archive API, with views for reporters, beats, sections, subjects, geography, obituaries, and corrections.

Doubt is an open-source, zero-dependency CLI and Agent Skill for turning contested questions into source-grounded evidence maps with supports, contradictions, unknowns, and portable HTML output.

Slashspace is a local-first infinite canvas for AI chat and agentic work, designed for research, writing, development, and long-form thinking. It supports multiple models, MCP connections, local storage, and desktop apps for Mac, Windows, and Linux.

An open benchmark and leaderboard for AI CAD agents, with 308 prompts across 20 categories and layered scoring for geometry, engineering, manufacturability, and cognition.

AI forecasting platform with a public track record, API/docs, and integrations for Claude Desktop and Claude Code. The page highlights benchmark results, live market usage, and example forecast types for probability, numeric, date, categorical, and decision questions.

A research article from Applied Compute on how agentic, tool-using workloads differ from traditional LLM benchmarks, with production observations, workload profiles, and an open-source harness for replaying traces.

An infinite canvas that turns LLM conversations, readings, and notes into an editable thought graph. It supports human-in-the-loop workflows, cited passages, replayable dependencies, and local-first backups.

UnderstandDocs is a document analysis tool that summarizes pasted text or uploaded files, flags risks, extracts important dates, and simplifies dense language. The page shows a working analysis form, supported file types, a privacy/no-storage claim, and an example output for a tenancy agreement.

A deterministic Python project for empirical law discovery in elementary cellular automata, with simulation, discovery, reproducibility guides, and published preprints.

A research site for LittleLearner, a language model trained only on K–5 curriculum data to study how bounded pretraining affects capability, scaling, post-training, and in-context learning. The page includes a live chat demo, model scales, controls, and experiment summaries.

Bootable Rust no_std kernel built as an inference substrate for LLMs, with tensor-native memory allocation, layer-boundary scheduling, and streaming-focused runtime primitives.

Valovest is an AI stock sentiment analysis tool that synthesizes analyst reports, earnings calls, news, and social sentiment into a short investment brief. The page shows timeframe filters, stock examples, a weekly featured stock, and outputs like overall sentiment, bull vs. bear arguments, and key themes.

A research project and interactive visualization on how agent-generated code behaves after merge in real-world open source repositories, with a paper, replication package, and data-driven findings.

Clusy is an agent-native notebook platform for ML and data science that lets users describe a goal in plain language and have the system source data, set up experiments, run notebook cells, and return editable results in the cloud.

Open Science is an open-source AI workbench for scientists. It combines literature, code, figures, reports, and review into a local-first desktop workflow with model choice, reproducible artifacts, and scientific agent skills.

Open-source research skill that helps Claude, Codex, and OpenClaw run a more disciplined AI research workflow, from hypothesis and literature review through baselines, leakage checks, analysis, and paper writing.

A Claude Code skill that delegates coding, review, analysis, and research tasks to Google Antigravity CLI sub-agents so Claude can keep working while background jobs run.

arXiv paper describing QUEST, an open family of deep research agents from 2B to 35B parameters, plus a synthetic-task training recipe and released models, data, and scripts.

A daily AI intelligence journal for builders, covering notable model, tooling, and release updates in a short sourced digest.

Physics AI is a physics homework and study tool that solves problems from photos or typed prompts, with step-by-step explanations, tutor mode, and visual breakdowns for diagrams and vectors.

A research report on the current MCP ecosystem, with live crawl numbers, verification rates, category breakdowns, and examples of both strong and weak MCP-positive sites.

A research post from Prime Intellect comparing 153 autonomous runs across 18 frontier models on a nanoGPT optimizer speedrun. It presents the setup, harness, results, and discussion around autonomous AI research performance.