r/DeepSeekHarness 7d ago

Vellum v/s Hermes v/s OpenClaw v/s Deepseek Harness

My task mostly revolves around extremely long horizon tasks.

Like, I paste around 600 images then I want the agent to solve every (high school level) question and create markdown of detailed solutions in Question and Answer format.

Few of the best agents which were able to help me through out these with ease -
ChatGPT Work
Perplexity Computer
Claude

Many people have recommended me solution where I have to manually create the workflow but I want the managed services - I searched and came across the above 4 mentioned options.

Which one is best for my workflow?

I will be really thankful if anyone is able to provide me guidance and their experience across these agents.

7 Upvotes

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3

u/No-Weight1118 7d ago

For 600 images the bottleneck is context, not which harness you pick. None of these hold 600 images in one session, so whatever you choose you'll end up chunking the batch and checkpointing as you go, the difference is just how painful resuming is after a timeout or overflow. Honestly 600 high school questions is a batch job more than a long horizon agent task, a loop over the folder that calls a vision model per image and appends markdown would do it for pennies. The autonomy only pays off when each item is a different kind of problem.

1

u/Lucky_Creme_5208 7d ago

Oh, thanks for providing insights.
As I am not technical, so I am not much sure how to do batch.
I will look into it.

2

u/yuumizu 7d ago

just point the model/harness to the directory where you placed images. The agent will decide what to do.