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What is known so far comes from the other direction:
These projects were analysed and named AutoScientists among their alternatives. The relationship is not symmetric — how AutoScientists rates them is a separate judgement, made when AutoScientists is analysed in its own right.
calls AutoScientists “choose for self-organizing agent teams in long-running experiments rather than a fixed skill pipeline”
Academic Research Skills for Claude Code: research → write → review → revise → finalize
calls AutoScientists “Use for self-organizing agent teams running long experiments, instead of integrating skills manually.”
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 190,000+ scientists worldwide. 165 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
calls AutoScientists “Same goal via self-organizing agent teams; choose if you want long-running multi-agent experimentation.”
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
calls AutoScientists “choose it if you want self-organizing agent teams for long-running experiments.”
Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepower. Maintained by Orchestra Research.
calls AutoScientists “choose it if you want self-organizing agent teams for long-running experiments rather than Sakana's tree-search stack.”
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
calls AutoScientists “Self-organizing agent-team runtime for long-running experimentation; use it for continuous autonomous runs, not interactive authoring help.”
An AI workflow skill pack for research, competitions, and innovation projects.