dsh-trajectory-governor

When building AI Agents for long-context and complex workflows, models often struggle with context loss, meaningless repetitive calls, and accumulating verification debt. As a closed-loop trajectory control plane for DeepSeek Harness, dsh-trajectory-governor fundamentally resolves the 'black box' and 'out-of-control' pain points in Agent execution. Rather than relying solely on prompt constraints, it dynamically tracks task continuity, information gain, and structured verification debt around real event streams, ensuring every step is traceable and substantively progressive.

The core capability of this plugin lies in its rigorous execution governance and benchmark validation mechanisms. It not only monitors tool calls in both Native and Code Modes in real time but also enforces same-spec, tolerance-aware performance regression judgments on workspace revisions, never allowing substandard results to pass. Combined with repetitive call interception, explicit finish gates, and a locally stored, privacy-safe decision ledger, it weaves a tight logical and quality safety net for the Agent.

This plugin is highly suitable for engineers developing highly reliable Agent workflows, researchers conducting automated benchmark evaluations, and advanced DeepSeek Harness users requiring strict code generation and refactoring validation. If you want your Agent to possess genuine self-correction capabilities, a rigorous validation loop, and an interpretable execution trajectory, dsh-trajectory-governor is an indispensable piece of infrastructure.