EchoCog/opencog-central

AI Summary: This issue outlines a short-term (Month 1) task to implement "ECAN attention allocation" as a priority within the Agent-Zero Genesis development roadmap. Completion requires code implementation, thorough testing, and potential documentation updates, with the final step being an update to the roadmap checkbox.

AI Summary: The task involves integrating the GNU Agent-Zero Genesis system, a hypergraphically-encoded OS environment for cognitive agents, as a build orchestrator for OpenCog within a Redox OS environment. This requires packaging OpenCog and GGML for Guix, creating custom Guile modules for cognitive functions, and developing a robust build and testing framework. The integration will leverage Python, Rust, Prolog, and C, along with Guix, Guile, and GGML.

AI Summary: Integrate the AGENT-ZERO-GENESIS.md document into the Redox OS Machine Learning Integration Environment. This likely involves incorporating the content of the markdown file into the existing Python, Rust, Prolog, or C codebase, potentially modifying existing functions or adding new ones to support the functionality described in the document.

AI Summary: The task involves debugging and fixing the `monorepo_build.yml` file within a Redox OS machine learning integration environment. This likely requires familiarity with build systems, potentially YAML configuration, and the project's specific build process. The goal is to resolve an unspecified issue within the build script.