The post is three arguments that together form a new framing for agent runtimes:
The LLM shouldn't execute anything (planning and execution belong on strictly separated planes), signals are the primitive that makes out-of-band cancellation and replanning possible, and the workflow's graph should be synthesized by the LLM at runtime rather than declared by a programmer at commit time. That last one is the load-bearing idea - a Late-Bound Saga.
Agentspan is the runtime that implements it on top of Conductor. Happy to answer about any of these and why I think the `while` loop is the wrong primitive.
I haven't used Conductor, but quickly looking at the README, Conductor lets you define JSON workflows to orchestrate existing microservices. By contrast, DBOS helps you build highly reliable applications--it runs as a library inside your program and helps you build durable workflows that run alongside your code and are written in the same language.
Orkes offers cloud hosted version of Netflix Conductor (https://github.com/Netflix/conductor). We are the core developers and founders of Conductors prior to founding Orkes.
We are looking for engineers who are interested in building the platform used by many fortune 100 companies to build their distributed stateful applications.
In this role, you will constantly push the boundaries of what is possible in a distributed system and developer experience.
The post is three arguments that together form a new framing for agent runtimes:
The LLM shouldn't execute anything (planning and execution belong on strictly separated planes), signals are the primitive that makes out-of-band cancellation and replanning possible, and the workflow's graph should be synthesized by the LLM at runtime rather than declared by a programmer at commit time. That last one is the load-bearing idea - a Late-Bound Saga.
Agentspan is the runtime that implements it on top of Conductor. Happy to answer about any of these and why I think the `while` loop is the wrong primitive.
Repo: https://github.com/agentspan-ai/agentspan
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