Science Agent Recommend - Find the Right AI Tool for Research

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name: science-agent-recommend description: | Get personalized AI agent recommendations for your research domain. Describe your field, task, or workflow → receive curated suggestions from 131+ projects across 10 categories and 32 skill hubs. Trigger words: "recommend a science agent", "best AI for research", "what agent for bioinformatics", "suggest tools for my lab", "AI agent for drug discovery", "help me find a research tool".

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Science Agent Recommend: Find the Right AI Tool for Your Research

> Describe your research domain or task. Get personalized recommendations from 131+ curated AI science agents.

Decision Tree

Guide the user through these questions to narrow down recommendations:

Step 1: What's your research domain?

| Domain | Go to | |--------|-------| | Bioinformatics / Genomics / Omics | → Biomedicine & Omics | | Drug Discovery / Chemistry / Molecular | → Drug & Molecular | | General research / Literature / Writing | → Research & Paper Tools | | Clinical / Medical / Health | → Clinical & Health | | Education / Teaching | → Education | | Evaluating / Benchmarking agents | → Benchmarks | | Security / Auditing | → Security |

Step 2: Domain-Specific Recommendations

#### Biomedicine & Omics | Need | Recommended | Stars | Install | |------|------------|-------|---------| | General bioinformatics assistant | BioClaw | 318 | OpenClaw-based | | Single-cell / multi-omics analysis | OmicsClaw | 114 | Python | | Spatial transcriptomics | SpatialAgent | 158 | Genentech | | CRISPR experiment design | CRISPR-GPT | 156 | Python | | Protein structure + bio research | STELLA | 122 | Princeton | | Nucleome / genome-scale | BioMaster | 91 | Python | | Biomedical multi-tool (67 tools) | BioMedAgent | 58 | Nature BME paper |

#### Drug Discovery & Molecular | Need | Recommended | Stars | Install | |------|------------|-------|---------| | Drug-target interaction / pharmacology | DrugClaw (QSong) | 118 | 57 skills, LangGraph | | Cheminformatics + folding + docking | BloClaw | 1 | All-in-one workspace | | Pharma pipeline end-to-end | AIAgents4Pharma | 76 | Python | | Molecular dynamics | MDCrow | 234 | OpenMM-based | | Molecular visualization | PyMolClaw | 1 | 13 PyMOL scripts | | Chemistry AI | ChemClaw | 32 | Python | | TCM network pharmacology | TCM-Agent | 10 | PubChem + TTD |

#### Research & Paper Tools | Need | Recommended | Stars | Install | |------|------------|-------|---------| | Autonomous end-to-end research | AutoResearchClaw | 10608 | Python | | Evolutionary scientific discovery | EvoScientist | 2918 | Python | | Microsoft R&D automation | RD-Agent | 12372 | Python | | Paper writing (Abstract→Conclusion) | Research Paper Writing Skills | 1109 | Skill | | AI writing humanization | Humanizer | 12880 | Skill | | Research writing prompts | Awesome AI Research Writing | 16316 | Skill | | Citation management | CitationClaw | 299 | Python |

#### Clinical & Health | Need | Recommended | Stars | Install | |------|------------|-------|---------| | Personal health copilot | HealthClaw | 293 | Streamlit + Feishu | | Medical AI assistant | MedgeClaw | 953 | Python | | Lab workflow automation | LabClaw | 935 | Python |

#### Education | Need | Recommended | Stars | Install | |------|------------|-------|---------| | Math learning (middle/high school) | MathClaw | 64 | Python, multi-channel | | AI classroom | OpenMAIC | 14136 | Tsinghua |

#### Benchmarks & Evaluation | Need | Recommended | Stars | Install | |------|------------|-------|---------| | General agent evaluation | Claw-Eval | 339 | 300 tasks, 2159 rubrics | | Agent safety (prompt injection) | ClawSafety Benchmark | 2 | 120 test cases | | Bioinformatics agent evaluation | BioAgent Bench | 16 | arXiv paper | | ML agent benchmark | HeurekaBench | — | EPFL |

#### Security | Need | Recommended | Stars | Install | |------|------------|-------|---------| | Scan skills for vulnerabilities | ClawSafety Scanner | — | Rust CLI | | Agent security monitoring | ClawKeeper | — | Security |

Step 3: Skill Hubs

If the user needs installable skills rather than full agents:

| Hub | Skills | Focus | |-----|--------|-------| | ClawHub | 6,300+ | Official OpenClaw registry | | K-Dense Scientific Skills | 240+ | Bioinformatics, clinical, ML | | Orchestra Research Skills | — | AI research training | | Nobel Medicine Minds | 52 | Cognitive frameworks of Nobel laureates |

Browse all 32 skill hubs at claw4science.org/skill-hubs.

How To Respond

1. Ask domain if not clear: "What's your research area?" 2. Match to table: Find 2-3 best fits from the domain section 3. Explain fit: One sentence on why each is relevant 4. Show stars + link: Include Claw4Science listing URL 5. Suggest skills: If they need specific skills, point to skill hubs 6. Close with directory: "Browse all 131+ projects at claw4science.org"

API Access

# Get all projects with metadata
curl -s "https://claw4science.org/api/projects"
Response includes: projects[], skills[], skill_hubs[]
Each project has: title, description, repo, group, tags, static_stars

Links

Full Directory: claw4science.org

Skill Hubs: claw4science.org/skill-hubs

Skill Search: claw4science.org/ai-search

Blog: claw4science.org/blog

API: claw4science.org/api/projects

Contribute a blog post: claw4science.org/contribute

Same-name projects: claw4science.org/samename