dsh-swarm-prediction

Orchestrating inference, voting, and result aggregation across multiple agents in a swarm prediction pipeline has long been a pain point in production deployments. dsh-swarm-prediction is a DeepSeek Harness workflow plugin under the agent-workflow category that encapsulates swarm prediction orchestration as reusable steps inside the Harness pipeline, so developers can embed multi-agent collaborative prediction without building coordination logic from scratch. Released under the MIT license, it is straightforward to integrate or extend in in-house projects.

Its core value lies in lowering the barrier to multi-agent swarm prediction: by referencing this plugin in an existing DeepSeek Harness workflow, developers gain structured prediction orchestration steps while the plugin handles low-level scheduling and aggregation. Whether the use case involves time-series forecasting, classification voting, or multi-model cross-validation, all of these can be chained along the same declarative, auditable workflow track and re-run reliably in CI or batch-processing environments.

It suits engineers and researchers who build multi-agent systems on DeepSeek Harness and need to add a swarm prediction stage without being bogged down by scheduling internals. Combined with the Harness plugin installation mechanism, dsh-swarm-prediction gives you a lightweight starting point for weaving prediction orchestration into existing pipelines, letting you focus on the prediction strategy itself.