RecOs

RecOs is a cross-domain software framework for recursive optimization and orchestration of computation tasks. It provides a runtime that executes dependency-aware task graphs, coordinates execution across local and distributed environments, and supports iterative refinement across passes of a computation. The design emphasizes recursive problem decomposition, memoization of intermediate results, and checkpointing to enable fault-tolerant execution and reproducibility.

The architecture typically comprises a core runtime, a graph-based scheduler, and a pluggable library of optimization and execution strategies. Components include data adapters for input and output stores, a policy language or API for specifying optimization objectives, and a set of connectors to containers or worker processes. The plugin system allows users to integrate local search, heuristic methods, exact algorithms, or learning-based strategies, and to compose them within recursive workflows.

RecOs supports multi-language bindings and containerized deployment to run on laptops, on-premises clusters, or cloud environments. It provides observability features such as structured logging, metrics, and tracing to support debugging and reproducibility. Checkpointing and state management enable resumption after failures and facilitate experimentation with different configurations.

Typical use cases span automated planning and constraint satisfaction, iterative data processing pipelines, optimization of resource allocation, and research programs that require recursive problem solving. While designed to be domain-agnostic, effective use depends on careful task modeling, dependency specification, and selection of appropriate optimization strategies.

See also: task graphs, orchestration frameworks, memoization, checkpointing.