Autonomous coding agent that runs each task in its own cloud sandbox preloaded with your repo — writing features, fixing bugs, running tests, and opening PRs. Reachable from ChatGPT web, a CLI, desktop apps, and IDEs (VS Code, JetBrains, Xcode).
Showed that fine-tuning a GPT model on public GitHub code yields a capable program synthesizer, and introduced HumanEval — the docstring-to-function benchmark that still anchors code-generation evaluation. A production variant powers GitHub Copilot.
Provides a local-first Markdown knowledge graph that LLMs and humans can both read and write via the Model Context Protocol (MCP). Features two-way, editable notes, semantic search (embeddings + hybrid ranking), and optional cloud sync and team workspaces.
Turns papers, repositories, or natural-language research goals into local-first executable 'quests' that automate reproducible experiments, branching, and result-to-paper workflows. Preserves experiment history, supports web/TUI/connectors, and keeps human takeover and inspection simple.
Provides 223 production-ready agent skills and plugins plus 298 stdlib Python CLI tools to add domain expertise to coding agents. Includes cross-tool conversion (11 platforms supported), personas, orchestration patterns, and a skill security auditor.
Desktop app that runs many CLI coding agents — Claude Code, Codex, Cursor, Gemini — in parallel, each in its own git worktree and branch. A built-in diff viewer, terminal, and PR tracking let you dispatch and review 10+ agents at once.
Curated index of 1,100+ official and community Agent Skills for extending AI agents across platforms — Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, OpenCode, and more. Focuses on hand-picked, engineering-authored skills, organized by vendor, paths, and quality guidance.
Provides 2 million synthetic, expert-verified coding examples with step-by-step reasoning and executable solutions for fine-tuning instruction-following and code-generation models. Curated through multi-stage filtering and automated test validation to prioritize correctness and reasoning.
Shows per-provider usage meters, credit balances, and reset countdowns for AI coding providers directly in the macOS menu bar. Privacy-first design reuses existing sessions (OAuth, cookies, API keys) and includes a CLI, widgets, live status badges, and optional cost/spend charts across 50+ providers.
Provides an IntelliJ IDEA plugin that embeds both Anthropic Claude Code and OpenAI Codex into the IDE — conversation-aware code assistance, @file context, session management, agent/skills commands, and provider switching for in-IDE AI coding workflows.
Runs several AI coding agents — Claude Code, Codex, OpenCode — in parallel from one keyboard-driven desktop app, each on its own Git worktree. Playbooks batch markdown checklists, group chat coordinates agents, and a web server enables remote control.
Packages Hugging Face ML tasks—dataset creation, model training, evaluation, Hub ops, Spaces deployment—as portable Agent Skills. Each is a SKILL.md folder agents load on demand, running unchanged across Claude Code, Codex, Gemini CLI, and Cursor.