dsh-recsys-pipeline
Run the following command in DeepSeek Harness:
dsh plugin install satan9394/dsh-recsys-pipeline
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install satan9394/dsh-recsys-pipeline in the DeepSeek Harness terminal to install this plugin, with the full source available at https://github.com/satan9394/dsh-recsys-pipeline
About this plugin
dsh-recsys-pipeline is a DeepSeek Harness agent-workflow plugin tailored for recommendation-system scenarios. When your recsys chain involves multiple agent calls—recall, ranking, final decision—manually wiring each step can be fragile and hard to maintain. This plugin offers a structured pipeline that organizes stage-by-stage agents into a single ordered flow, reducing the coordination overhead of multi-step collaboration.
Its core idea is to treat a recommendation workflow as a pipeline: multiple agent nodes are linked into a reusable, sequential chain. The emphasis sits under the agent-workflow category, prioritizing flow orchestration over any single-point algorithm.
If you are building multi-agent collaboration chains for a recommendation system on DeepSeek Harness and want a unified pipeline structure to manage stages like recall, ranking, and filtering, dsh-recsys-pipeline is a lightweight, MIT-licensed starting point.
Use Cases
- Chain recall, ranking, and filtering agents into a single pipeline for unified orchestration
- Build reusable multi-agent collaboration workflows for recommendation scenarios on DeepSeek Harness
- Consolidate scattered agent calls into one structured, sequential execution flow
Best For
- Developers building multi-agent recsys chains on DeepSeek Harness
- ML engineers managing recall, ranking, and filtering stages via a unified pipeline
- Teams reducing agent workflow coordination overhead with a lightweight plugin
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