Why not same manus.im

[lilinji]

Dimension	DeepSeek Harness (dsh)	Manus (manus.im)
Category	Agent Framework & Runtime (Open-Source)	Autonomous Agent Product (Proprietary SaaS)
Core Philosophy	"Everything is a plugin" (Modular, extensible)	"End-to-end task delivery" (Turnkey execution)
Target User	Developers, AI engineers, enterprise platform builders	End users, researchers, knowledge workers
Execution Environment	Runs anywhere: Local CLI, private servers, Slurm HPC clusters	Cloud-managed multi-tenant virtual sandboxes & browser CDP
Model Dependency	Model-agnostic / optimized for reasoning models (DeepSeek-R1, V3, etc.)	Multi-model orchestration (Claude, GPT, proprietary routers)
Analogy	The engine, chassis, and toolkit to build an agent	A finished autonomous car you drive right away

Why not pure DeepSeek Harness?

End-users (Biologists/PIs) need an intuitive UI: A raw framework or CLI isn't usable for lab scientists. They need visual cohort management, real-time workflow status, differential expression graphs, and publication-ready evidence cards.