repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
drpedapati/sciclaw
Paired-scientist AI assistant for reproducible research — lightweight Go runtime, lifecycle hooks, manuscript integration, 12 baseline scientific skills. PicoClaw-compatible.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 63%Anthropic Launches Claude Science Beta: A Multi-Agent AI Workbench for Reproducible Genomics, Proteomics, and Cheminformatics Pipelines - MarkTechPost →
- PossiblePossibly related (embedding) · 62%Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaboration →
- PossiblePossibly related (embedding) · 61%Towards Automating Scientific Review with Google's Paper Assistant Tool →
- PossiblePossibly related (embedding) · 61%Co-Scientist: A multi-agent AI partner to accelerate research →
- PossiblePossibly related (embedding) · 59%Reproducibility in Computational Biology: Best Practices for AI and ML Workflows - Technology Networks →
- PossiblePossibly related (embedding) · 57%Researchers gather at Cornell Tech to explore AI for molecular science - Cornell Chronicle →
- PossiblePossibly related (embedding) · 53%About the Guest Editors | AI for Longitudinal and Adaptive Precision Oncology - Nature →
- PossiblePossibly related (embedding) · 63%Terminal-Bench-Science: Evaluating AI agents on scientific research workflows →
Covers
newsAnthropic Launches Claude Science Beta: A Multi-Agent AI Workbench for Reproducible Genomics, Proteomics, and Cheminformatics Pipelines - MarkTechPostnewsCo-Scientist: A multi-agent AI partner to accelerate researchnewsReproducibility in Computational Biology: Best Practices for AI and ML Workflows - Technology Networks
Implements
Covers (incoming)
newsResearchers gather at Cornell Tech to explore AI for molecular science - Cornell ChroniclenewsAbout the Guest Editors | AI for Longitudinal and Adaptive Precision Oncology - NaturenewsTerminal-Bench-Science: Evaluating AI agents on scientific research workflowsnewsSTREAMLINE uses AI to tackle one of nuclear physics’ toughest problems | Newswise - NewswisenewsOur approach to bioresiliencenewsPrinceton researchers awarded Genesis Mission grants from Department of Energy to accelerate AI use for scientific discovery - Princeton University
Related across the graph
newsReproducibility in Computational Biology: Best Practices for AI and ML Workflows - Technology NetworksnewsTerminal-Bench-Science: Evaluating AI agents on scientific research workflowsnewsResearchers gather at Cornell Tech to explore AI for molecular science - Cornell ChroniclepaperTowards Automating Scientific Review with Google's Paper Assistant ToolnewsAnthropic Launches Claude Science Beta: A Multi-Agent AI Workbench for Reproducible Genomics, Proteomics, and Cheminformatics Pipelines - MarkTechPostpaperClarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific CollaborationnewsSTREAMLINE uses AI to tackle one of nuclear physics’ toughest problems | Newswise - NewswisenewsOur approach to bioresiliencenewsCo-Scientist: A multi-agent AI partner to accelerate researchnewsPrinceton researchers awarded Genesis Mission grants from Department of Energy to accelerate AI use for scientific discovery - Princeton UniversitynewsAbout the Guest Editors | AI for Longitudinal and Adaptive Precision Oncology - Nature