DSH OPS is an open-source toolkit that extends DeepSeek Harness with efficient file, document, and shell operations for AI agents. It is designed to reduce unnecessary token consumption and improve task execution workflows. The software uses a Rust-based worker to provide bounded file access, compact responses, and structured operation results. It supports reading and discovering files while preserving line numbers and limiting excessive output. Additional tools handle CSV, TSV, DOCX, and supported PDF text extraction operations. Developers can access functionality through native agent tools or a programmatic TypeScript interface. Its modular architecture supports independent component configuration, permission checks, and integration with desktop, web, and terminal-based DSH environments.

Features

  • Token-Efficient AI Agent Operations
  • Bounded File Reading and Discovery
  • Rust-Based Execution Worker
  • Structured Document and Data Extraction
  • Cross-Platform Bash Command Integration
  • Modular DSH Plugin Configuration

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow dsh-ops

dsh-ops Web Site

Other Useful Business Software
Host LLMs in Production With On-Demand GPUs Icon
Host LLMs in Production With On-Demand GPUs

NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of dsh-ops!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

JavaScript

Related Categories

JavaScript Browser Extensions and Plugins

Registered

2026-10-19