OpenRaiser/NanoResearch
🦞+🔬 NanoResearch: The Autonomous AI Research Assistant 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
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
- readme: https://github.com/OpenRaiser/NanoResearch · fetched 2026-08-28 · 7b9e4894c5dc
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| OpenRaiser/NanoResearch | main | 62 |
For agents
markdown · JSON · MCP: product_card(name="OpenRaiser/NanoResearch")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem