Research

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 reproducible GitHub research repo comparing Codex reasoning-token usage between API and ChatGPT Pro access across 960 completed responses, with code, data, and verification steps included.

A long-form research article on why browser-based AI agents fail on real websites and how accessibility engineering and task-level tests can reveal the breakpoints.

Research code for improving agent harnesses through regularized recursive self-improvement, with evaluation, selection, pruning, and domain-specific adapters.

A research repo that replays real Claude Code and Mooncake traces to test prefix-cache eviction policies and compare them against LRU.

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.

Chrome extension that tracks major AI companies, pulls in AI news and research, and generates daily summaries with Gemini, including language-aware summaries and article deep dives.

AI-native workspace for writers, bloggers, and lifelong learners. It combines source collection, an idea map, AI-assisted exploration, and a focused writing editor designed to support long-form thinking.

AI-powered trade signal product for retail traders that turns financial news into ranked trade plans with entries, stops, targets, and tracked accuracy.

A research page comparing 153 autonomous runs across 18 frontier models on the nanoGPT optimizer speedrun, with rankings, trajectories, token/compute stats, and equal-budget comparisons.

A sourced model and short report exploring whether Europe could train a sovereign frontier AI model using public compute it already owns, with reproducible code, datasets, and a PDF report.

Foyer is a local dashboard for watching AI coding agents work, with a narrated current-focus view and a research panel for reading sourced briefings while you wait.

A research article from Plicara Labs analyzing 1.9 million GitHub agent skills and how often they include code, with breakdowns by language, mention-to-code gaps, and writing language.

Canvas Chat is a tree-based LLM chat interface for branching, comparing, and organizing conversations on an infinite canvas using your own API keys.

Sharper AI is an AI office assistant that works from your documents and connected apps to research, draft, summarize, schedule, and produce cited deliverables.

Lucid is a browser-based tool for inspecting what a language model is representing before it answers, using Anthropic’s Jacobian lens. It supports small open models, lets users type prompts, view concepts across layers, and export shareable session slices.

A Claude Code-based operating system for running executive workflows across research, communications, CRM, content, and operations, with a split between a public engine repo and a private data repo.

A web tool that turns a public website into an MCP server so AI agents can search and read its content via a generated link.

Open-source research workbench for fail-closed LLM inference routing based on measured GPU workloads. The repo documents Phase 1 results, reproducible experiments, quick-start commands, and a policy that only promotes exact measured workload buckets.

A position paper arguing that AI alignment methods can be repurposed for censorship and manipulation, with examples across pre-training, post-training, and inference-time controls.