Ross ROSS = Recommend OSS · open-source software intelligence for agents

OpenRaiser/NanoResearch

🦞+🔬 NanoResearch: The Autonomous AI Research Assistant observed · 2026-08-28

github.com/OpenRaiser/NanoResearch · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

62/100

  • Activity 99
  • Release rhythm 43
  • Longevity 12

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 169
  • days_rel: 167
  • days_push: 8
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

1358 stars · 96 forks observed · 2026-08-28

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

NanoResearch is an autonomous AI research assistant that runs an end-to-end pipeline from a research idea to a complete LaTeX paper. It executes real computational experiments on local or SLURM GPU clusters, collects actual results, generates figures, and produces papers grounded in real data rather than LLM-fabricated numbers.

Use cases

  • automatically write a research paper from an idea
  • run ML experiments on a GPU cluster autonomously
  • generate LaTeX papers with real experimental results
  • automate the AI research pipeline end to end
  • use Claude Code skills for autonomous research
  • self-evolving research agent that improves its own experiments

When to choose

  • you want fully automated idea-to-paper research workflows with real executed experiments
  • you have GPU/SLURM cluster access and want experiments submitted and results collected automatically
  • you prefer results grounded in actual runs instead of LLM-hallucinated numbers
  • you use Claude Code or agent-skill ecosystems and want research automation integrated

When to avoid

  • you only need text generation or paper writing without running experiments
  • you lack GPU or cluster resources, since the pipeline depends on executing training jobs
  • you need a polished GUI product rather than a Python CLI workflow
  • your research domain is not amenable to computational experiments

Facets

cli-tool · maturity active

agent-framework llm-inference llm-training workflow-automation cli data-visualization developer-tools artificial-intelligence machine-learning large-language-models python cli autonomous-research ai-scientist claude-code agent-skills latex-paper-generation slurm experiment-automation nanobot ai-agents automation research linux docker gpu

1 source

Member repositories

RepositoryRoleHealth v2
OpenRaiser/NanoResearchmain62

For agents

markdown · JSON · MCP: product_card(name="OpenRaiser/NanoResearch")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem