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Algernon enables AI assistants to orchestrate a fleet of cheap LLM workers, decomposing goals into tightly-scoped parallel sub-tasks and dispatching them concurrently, so the main model stays context-light and token-efficient.

Enables governed multi-agent orchestration with pre-dispatch cost estimation, dependency-aware dispatch, and auditable recall, all protected by a fail-closed policy gate.

Provides memory and orchestration capabilities to reduce AI waste, enabling recall before re-deriving and parallel task dispatch for any model.