skyllwt/AutoSci

Health v2 · maintenance only

Flags: no_releases young

Adoption not part of the score

1649 stars · 210 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AutoSci is a wiki-centric AI research platform that automates the full scientific research lifecycle — reading literature, thinking, running experiments, writing, and evolving — powered by Claude Code (with Codex and OpenCode previews). It implements Karpathy's LLM-Wiki vision with memory that compounds across projects via components like SciMem, SciFlow, SciDAG, and SciEvolve.

Use cases

• automate literature reviews on a research topic
• generate a wiki of knowledge from arxiv papers
• run an AI agent that reads papers and writes research notes
• manage a full AI-assisted scientific research lifecycle
• build compounding research memory across projects
• get daily arxiv paper recommendations by email
• use claude code as a research assistant

When to choose

• you want an AI agent to automate reading, synthesizing, and writing research content
• you already use Claude Code and want a research-oriented workflow on top of it
• you need a wiki-style knowledge base that grows with each research project

When to avoid

• you need a fully stable, production-hardened tool — it is in internal beta
• you don't use Claude Code, Codex, or OpenCode as your coding agent runtime
• you need offline research without LLM API access

Facets

application · maturity experimental

agent-framework llm-inference rag workflow-automation documentation search-engine artificial-intelligence large-language-models developer-tools python cli cross-platform ai-research-agent claude-code wiki scientific-research llm-agent knowledge-management arxiv codex opencode ai-agents research natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="skyllwt/AutoSci")