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  1. Home
  2. /Repositories
  3. /strands-labs/ai-functions
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repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · yesterday

strands-labs/ai-functions

Python functions powered by AI agents - with runtime post-conditions for reliable agentic workflows.

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) · 56%Advancing Efficient AI Workflows - Harvard University →
  • PossiblePossibly related (embedding) · 51%Reproducibility in Computational Biology: Best Practices for AI and ML Workflows - Technology Networks →
  • PossiblePossibly related (embedding) · 50%OptiAgent: End-to-End Optimization Modeling via Multi-Agent Iterative Refinement →

Covers (incoming)

newsAdvancing Efficient AI Workflows - Harvard UniversitynewsReproducibility in Computational Biology: Best Practices for AI and ML Workflows - Technology Networks

Implements (incoming)

paperOptiAgent: End-to-End Optimization Modeling via Multi-Agent Iterative Refinement

Related across the graph

newsReproducibility in Computational Biology: Best Practices for AI and ML Workflows - Technology NetworksnewsAdvancing Efficient AI Workflows - Harvard UniversitypaperOptiAgent: End-to-End Optimization Modeling via Multi-Agent Iterative Refinement
Knowledge path·NReproducibility in Computational Biology: Best Practices for AI and ML Workflows - Technology Networks→NAdvancing Efficient AI Workflows - Harvard University→POptiAgent: End-to-End Optimization Modeling via Multi-Agent Iterative Refinement→Rstrands-labs/ai-functions

Topics

agenticagentic-aiaigenaillmmachine-learningpythonstrands-agentsstrands-labs

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Graph trust82Primary
Graph score305