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Overview

Adjutant is a DSPy-native agent for the Autopilot ACP system. Unlike Codex or Gemini adapters that wrap external binaries, Adjutant runs natively in Rust with first-class dsrs support. Status: The repo includes Adjutant, but current desktop builds connect only to Codex by default.

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Key Characteristics

  • Native Rust implementation (no external process spawning)
  • DSPy signature pipelines for planning and execution
  • Unified event stream + signature-driven UI updates

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Plan Mode Signatures

Plan mode signatures live in crates/dsrs/src/signatures/plan_mode.rs and are exposed through the signature registry:
  • TopicDecompositionSignature
  • ParallelExplorationSignature
  • PlanSynthesisSignature
  • ComplexityClassificationSignature
  • DeepPlanningSignature
  • ResultValidationSignature

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Optimization Loop

Plan mode examples and manifests are stored locally:
  • ~/.openagents/autopilot-desktop/training/plan_mode.json
  • ~/.openagents/autopilot-desktop/manifests/plan_mode/
  • ~/.openagents/autopilot-desktop/optimization/
Optimizers: MIPROv2, COPRO, GEPA.

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Integration Surface

  • Backend: crates/adjutant/ (DSPy pipelines) + crates/autopilot_app/ (desktop wiring)
  • UI: crates/autopilot_ui/ (WGPUI surfaces)
  • Events: emits app/server events consumed by the desktop runtime

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Why It Matters

Adjutant is the pathway to programmable, optimizable behavior in Autopilot. It turns planning into a first-class, measurable system instead of ad hoc prompts.