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Plataforma de automatización de workflows con agentes de IA especializados que separen planificación, ejecución y validación para mayor precisión

Scouted 5 hours ago

7.0/ 10
Overall score

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Score breakdown

Urgency7.0
Market size8.0
Feasibility7.0
Competition6.0
Pain point

Los desarrolladores luchan para construir tareas secuenciales estables con LangChain y modelos de IA para automatización de workflows

Who'd pay for this

Desarrolladores, equipos de DevOps y empresas que necesitan automatizar workflows complejos

Source signal

"I struggled to build stable sequential tasks with LangChain and GPT3.5 turbo. After many failed attempts with LangChain's PS agent, I decided to build my own."

Original post

Show HN: Lemon Agent – Plan and Solve agent for workflow automation

https://github.com/felixbrock/lemon-agent I built this Plan and Solve (PS) agent because I struggled to build stable sequential tasks with LangChain and GPT3.5 turbo. After many failed attempts with LangChain&#x27;s PS agent, I decided to build my own.<p>I built the agent in a way that it acts as a workflow automation co-pilot rather than trying to play AGI. For example, the user has to tell the Lemon Agent which task needs to be solved and whether the suggested workflow automation is the right one for the task. I decided to go with a PS architecture since I consider the separation of responsibility a great way to increase the accuracy of agents, which is one of the main reasons why I built this agent. I am actively thinking about adding a workflow automation-specific third agent that helps with input validation (so kind of a ‘PVS’ agent) to make the input parameter provision in each workflow step more accurate.<p>I’d love to hear your thoughts and get some initial feedback!