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  1. Home
  2. /Repositories
  3. /Starlight143/crucible
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago

Starlight143/crucible

AI-native multi-agent research workflow: parallel evidence gathering, 7-direction debate, and risk-gated analysis — structured output, not one-shot prompts.

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) · 66%Investing in multi-agent AI safety research →
  • PossiblePossibly related (embedding) · 65%Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaboration →
  • PossiblePossibly related (embedding) · 63%Co-Scientist: A multi-agent AI partner to accelerate research →
  • PossiblePossibly related (embedding) · 60%FLARE-AI: Flaw Reporting for AI →
  • PossiblePossibly related (embedding) · 60%FARS: A Fully Automated Research System Deployed at Scale →
  • PossiblePossibly related (embedding) · 46%AI Is Accelerating Drug Discovery, but Patients Will Prove Its True Value - Technology Networks →
  • PossiblePossibly related (embedding) · 49%The Evolution of Artificial Intelligence in Oncology: Impact on Trials, Workflows, and Outcomes - CancerNetwork →
  • PossiblePossibly related (embedding) · 59%Gallagher: AI as a force multiplier for trusted advisors – better insight, faster decisions, stronger results - Microsoft →

Covers

newsInvesting in multi-agent AI safety researchnewsCo-Scientist: A multi-agent AI partner to accelerate research

Implements

paperClarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific CollaborationpaperFLARE-AI: Flaw Reporting for AIpaperFARS: A Fully Automated Research System Deployed at Scale

Covers (incoming)

newsAI Is Accelerating Drug Discovery, but Patients Will Prove Its True Value - Technology NetworksnewsThe Evolution of Artificial Intelligence in Oncology: Impact on Trials, Workflows, and Outcomes - CancerNetworknewsGallagher: AI as a force multiplier for trusted advisors – better insight, faster decisions, stronger results - MicrosoftnewsAnthropic Launches Claude Science Beta: A Multi-Agent AI Workbench for Reproducible Genomics, Proteomics, and Cheminformatics Pipelines - MarkTechPostnewsI built a native Reddit app where a council of 5 AI agents debate and roast your project ideasnewsBipartisan bill proposes $2 million federal study into AI’s effects on older adults - McKnight's Senior LivingnewsThe hidden cost of AI support: Why MSPs still struggle with escalation and repeated diagnosis - IT PronewsEmpowering clinical trial design with agentic intelligence and real-world data - NaturenewsEnterprise AI still smarting from leaping before lookingnewsLiquid AI Open-Sources Antidoom: A Final Token Preference Optimization (FTPO) Method that Reduces Doom Loops in Reasoning Models - MarkTechPostnewsEmulatRx demonstrates collaborative AI for clinical trial design - Let's Data SciencenewsThe 26.1 Percent Problem: Why One Independent Researcher Started Grading Every AI Skill on GitHub - Programming InsidernewsResearchers develop 'hierarchical AI agent' that tackles complex errands with ease - Tech XplorenewsReproducibility in Computational Biology: Best Practices for AI and ML Workflows - Technology NetworksnewsSREs to AI agents: Prove yourself before you touch productionnewsAI Projects Need More Than One Model: The Rise of Multi-Step, Multi-Model AI Architectures - Logistics ViewpointsnewsThe cleanup trap: Stop asking RAG to fix bad datanewsA single AI agent conversation can look perfect and still be broken, leaders from LangChain, Conviva and CoreWeave said at VB Transform 2026newsMeta is testing an AI bedtime story app for people with no imaginationnews5 Stages of Integrating Human Judgement and AI: Don Trone - 401k SpecialistnewsVentureBeat Research: Where enterprise AI agent governance hasn't caught upnewsWhy good AI agents still produce bad system outputsnewsThe AI Validation Gap: Decision Support Tools Are Outrunning Their Own Evidence - The Clinical Trial VanguardnewsNew policy ideas for the Intelligence Age

Implements (incoming)

paperDo AI Agents Know When a Task Is Simple? Toward Complexity-Aware Reasoning and Execution

Related across the graph

newsVentureBeat Research: Where enterprise AI agent governance hasn't caught upnewsReproducibility in Computational Biology: Best Practices for AI and ML Workflows - Technology NetworksnewsThe AI Validation Gap: Decision Support Tools Are Outrunning Their Own Evidence - The Clinical Trial VanguardnewsThe 26.1 Percent Problem: Why One Independent Researcher Started Grading Every AI Skill on GitHub - Programming InsidernewsEnterprise AI still smarting from leaping before lookingnewsSREs to AI agents: Prove yourself before you touch productionnewsAI Projects Need More Than One Model: The Rise of Multi-Step, Multi-Model AI Architectures - Logistics ViewpointsnewsLiquid AI Open-Sources Antidoom: A Final Token Preference Optimization (FTPO) Method that Reduces Doom Loops in Reasoning Models - MarkTechPostnewsBipartisan bill proposes $2 million federal study into AI’s effects on older adults - McKnight's Senior LivingnewsAI Is Accelerating Drug Discovery, but Patients Will Prove Its True Value - Technology NetworksnewsResearchers develop 'hierarchical AI agent' that tackles complex errands with ease - Tech XplorenewsEmpowering clinical trial design with agentic intelligence and real-world data - NaturenewsEmulatRx demonstrates collaborative AI for clinical trial design - Let's Data SciencepaperDo AI Agents Know When a Task Is Simple? Toward Complexity-Aware Reasoning and ExecutionnewsAnthropic Launches Claude Science Beta: A Multi-Agent AI Workbench for Reproducible Genomics, Proteomics, and Cheminformatics Pipelines - MarkTechPostnewsThe hidden cost of AI support: Why MSPs still struggle with escalation and repeated diagnosis - IT PropaperClarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaborationnews5 Stages of Integrating Human Judgement and AI: Don Trone - 401k SpecialistnewsGallagher: AI as a force multiplier for trusted advisors – better insight, faster decisions, stronger results - MicrosoftpaperFLARE-AI: Flaw Reporting for AInewsInvesting in multi-agent AI safety researchnewsThe Evolution of Artificial Intelligence in Oncology: Impact on Trials, Workflows, and Outcomes - CancerNetworknewsCo-Scientist: A multi-agent AI partner to accelerate researchnewsNew policy ideas for the Intelligence AgenewsMeta is testing an AI bedtime story app for people with no imaginationpaperFARS: A Fully Automated Research System Deployed at ScalenewsWhy good AI agents still produce bad system outputsnewsA single AI agent conversation can look perfect and still be broken, leaders from LangChain, Conviva and CoreWeave said at VB Transform 2026newsI built a native Reddit app where a council of 5 AI agents debate and roast your project ideasnewsThe cleanup trap: Stop asking RAG to fix bad data
Knowledge path·NVentureBeat Research: Where enterprise AI agent governance hasn't caught up→NReproducibility in Computational Biology: Best Practices for AI and ML Workflows - Technology Networks→NThe AI Validation Gap: Decision Support Tools Are Outrunning Their Own Evidence - The Clinical Trial Vanguard→RStarlight143/crucible

Topics

ai-workflowautonomous-agentsdebateevidence-gatheringllmmulti-agentopenairesearch-tool

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