This phase establishes the foundational design and technical strategy for the Augmented Brain Knowledge Graph tooling with a strong focus on its compatibility and integration with the OpenCog Hyperon framework specifically MeTTa and MORK. We will conduct in-depth analysis of MeTTa/MORK's data structures Grounded Interfaces and preferred data formats (e.g. JSON) based on available documentation (like the provided MORK roadmap). This includes defining the optimal approach for exporting or making our PostgreSQL-based KG data consumable by the Hyperon symbolic stack. We will detail the architecture for ingestion pipelines covering scoped data sources (e.g. specific documentation types code structures) design the core KG schema tailored for utility in symbolic reasoning and plan the API interfaces. A comprehensive project plan and work breakdown for Milestones 2 and 3 will be created.

Detailed Technical Design Document: Including KG schema definition architecture for ingestion pipelines API structure. Hyperon Integration Strategy Document: Specific plan for MeTTa/MORK compatibility detailing data export formats (e.g. JSON schema compatible with MORK's JSON interop) interface specifications for Grounded Operations or other methods for exposing KG data to Hyperon. Scoped Tooling Specification: Document outlining the precise features and data sources to be implemented within the grant. Comprehensive Project Plan: Detailed breakdown of tasks timeline and resource allocation for M2 & M3. Initial Code Repository Setup.

$6,000 USD

All design documents are completed and detail a clear, feasible plan for developing the Augmented Brain KG tooling and integrating it with MeTTa/MORK. The Hyperon integration strategy is well-defined and based on available MeTTa/MORK specifications. The project plan provides a solid roadmap for execution.

This phase translates the design from Milestone 1 into working code. We will implement the core data ingestion pipeline for at least one significant data source type (e.g. a specific set of documentation or a representative codebase subset) building the initial KG representation in PostgreSQL. The focus will be on developing the fundamental logic for storing querying and updating KG entities and relationships based on the planned schema. Crucially we will build the first functional version of the MeTTa/MORK bridge implementing the chosen export mechanism (e.g. generating KG subsets as JSON compatible with MORK ingestion) or a basic interface layer designed for MeTTa's Grounded Interfaces. Preliminary tests will verify core functionality and successful data transfer/access by a minimal MeTTa/Hyperon setup.

Working Codebase: Core data ingestion module(s) basic KG storage/query logic implementation. Initial MeTTa/MORK Bridge Code: Functional implementation of the chosen data export or interface method (e.g. JSON exporter for KG subsets). Demonstration of Initial Integration: Successful export/access of simple KG data by a basic MeTTa/Hyperon script or test setup. Preliminary Test Results: Documentation of initial tests for ingestion querying and integration viability on sample data. Updated Technical Documentation: Reflecting implemented components and API usage.

$12,000 USD

Core KG tooling components (ingestion, storage, basic query) are functional. The initial MeTTa/MORK bridge successfully facilitates data transfer or access between the Augmented Brain KG and a MeTTa/Hyperon environment using the planned method. Preliminary tests validate the core approach.

This final phase completes the Augmented Brain KG tooling development refines the MeTTa/MORK integration and focuses on evaluation and delivery. We will finalize all scoped ingestion pipelines enhance KG refinement and validation tools (as designed in M1) complete the API interfaces and harden the MeTTa/MORK bridge for robustness and broader data coverage. A key activity will be implementing benchmarks to evaluate the tooling's performance and critically its utility in supporting AGI reasoning tasks within Hyperon (e.g. demonstrating how accessing knowledge via the bridge improves results on multi-hop queries or fact-checking compared to using the KG). All code will be prepared for public release under the MIT License accompanied by comprehensive documentation and demonstration materials.

Final Complete and Tested Codebase: Includes all scoped ingestion modules refined KG tools complete API and the robust MeTTa/MORK integration bridge. Comprehensive Developer Documentation: Detailed guides API reference setup instructions usage examples for open-source adoption. Benchmark Results and Utility Evaluation Report: Data and analysis demonstrating the tooling's performance and how it enhances specific reasoning tasks when used by MeTTa/Hyperon. Demonstration Materials: Video(s) showcasing the tooling's features and its use in providing context for AI/AGI potentially integrating with a basic Hyperon component if feasible within scope. Final Project Report: Summary of work achievements challenges and future recommendations. Public Code Repository: Containing the complete codebase released under the MIT License.

$12,000 USD

All scoped tooling features are fully implemented and tested. The MeTTa/MORK integration is robust and demonstrated to support relevant data access for Hyperon. Documentation is comprehensive, and demonstration materials are clear. Benchmark results show performance and evidence of improved utility for reasoning tasks. The complete codebase is successfully released publicly under the MIT License.