by AutoX-AI-Labs · Agent Tool · ★ 855
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
AutoR: A Human-Centered Research OS AI handles execution. Humans own the direction. A terminal-first research harness, with a local browser Studio, that turns long, messy research work into reproducible, artifact-backed runs. Overview · News · Showcase · Quick Start · How It Works · Run Layout · Architecture · Roadmap
| Stars | 855 |
| Forks | 23 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 36.17/100 |
| Last Updated | 2026-06-15 |
| Created | 2026-03-13 |
| Platforms | claude-code, cli, python |
| Est. Tokens | ~22k |
Looking for a AutoR alternative? If you're comparing AutoR with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
AI Skills, MCP Tools, and CLI for Unity Engine. Full AI develop and test loop. Use cli for quick setup. Effici
A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.
The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plug
An introduction to the world of AI Agents
Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator
Desktop AI Assistant powered by GPT-5, GPT-4, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Biel
Explore other popular agent tool tools:
AutoR is AI handles execution, humans own the direction, and every run becomes an inspectable research artifact on disk.. It is categorized as a Agent Tool with 855 GitHub stars.
AutoR is primarily written in Python. It covers topics such as agent, ai, ai-scientist.
You can find installation instructions and usage details in the AutoR GitHub repository at github.com/AutoX-AI-Labs/AutoR. The project has 855 stars and 23 forks, indicating an active community.
The top alternatives to AutoR on Agent Skills Hub include Unity-MCP, awesome-azure-openai-llm, agnix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.