Explore/platform/Substrate-Portable Execution for Production LLM Workflows
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Tarun Gopinath, Atul Kulkarni, Vijay Rajakumar, Shrikar Katti, Parthasarathy Govindarajen/Substrate-Portable Execution for Production LLM WorkflowsUnknown

Substrate-Portable Execution for Production LLM Workflows proposes a binding‑adaptive platform that decouples agent workflow definitions from their execution substrate, enabling the same typed dataflow graph to run in real‑time streaming, durable asynchronous, or batch inference modes without code changes.

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AgentHub Score
55 / 100
Composite score from 6 signals. How we score →
Active project
55Score
Growth
40C
Activity
30C
Documentation
70C+
Maturity
45C
Community
42C
Production
58C
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Practical assessment
Should you use it?

✓ Best for

  • Research and experimentation
  • Prototype development
  • Learning agentic patterns

◎ Strengths

  • Active community
  • Open source
  • Well-documented API

✕ Not ideal for

  • Untested at scale without validation
  • Teams without AI/ML expertise

⚠ Watch-outs

  • Review changelog before updating
  • Verify license for commercial use
Technical details
What's inside
Language
License
Sourcearxiv
Open source✗ No
Commercial use
Docs
Demo

AgentHub Score

55
Score 55/100
Below average

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