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  1. Mcptestkit (pypi.org)
    1 points 0
  2. Agents on Conductor: Agents Are Workflows (medium.com)
    2 points 0
  3. Netflix Conductor: The Next Chapter (netflixtechblog.medium.com)
    1 points 1
  4. Code Review by Dines and Gilfoyle (github.com)
    3 points 2
  5. Dynamic ReACT Loop with Conductor (conductor-oss.github.io)
    3 points 0
  6. HttpBin Service (github.com)
    1 points 0
  7. Show HN: Six legendary marketers walk into a workflow (github.com)
    5 points 1
  8. Workflow Engine Is Durable. Your Agent's Decisions Aren't (medium.com)
    2 points 0
  9. Show HN: Native agent runtime for Conductor OSS (github.com)
    1 points 0
  10. Late-Bound Sagas: Why Your Agent Is Not an LLM in a Loop (medium.com)
    3 points 1
  11. Conductor – Durable Execution Engine (conductor-oss.github.io)
    3 points 0
  12. Code review skill inspierd by Gilfoyle and Dinesh (github.com)
    2 points 0
  13. Show HN: Markitdown in Go (github.com)
    4 points 0
  14. Show HN: Tool for Testing MCP Servers (mcp-workbench.ai)
    5 points 0
  15. Fast – Speedtest (fast.com)
    2 points 0
  16. Framework used by Netflix to orchestrate microservices (github.com)
    1 points 0
  17. Conductor at Netflix – Managing ML Infra for Personalized Recommendations [video] (youtube.com)
    6 points 0
  18. Netflix Conductor Version 3.13.7 (github.com)
    4 points 0
  19. Handling Failures in Distributed Applications (orkes.io)
    1 points 0
  20. Ask HN: What business problems are you solving with LLMs?
    1 points 0
  21. 1 points 0
  22. Long Running Workflows and Transactions (orkes.io)
    2 points 0
  23. Netflix Conductor (github.com)
    2 points 0
  24. Workflows as a Distributed Transactional Back End (medium.com)
    3 points 0
  25. Modern Transactional Stack (a16z.com)
    115 points 83