
Innovations Labs
Project OwnerThe Developing company
A modular, open-source symbolic graph query engine and benchmarking framework for OpenCog Hyperon. This project aims to validate, profile, and optimize symbolic reasoning performance using MeTTa, Atomspace, and MORK. It will provide tools for AGI researchers to query knowledge graphs, run benchmarks, and visualize inference metrics.
This RFP seeks the development of advanced tools and techniques for interfacing with, refining, and evaluating knowledge graphs that support reasoning in AGI systems. Projects may target any part of the graph lifecycle — from extraction to refinement to benchmarking — and should optionally support symbolic reasoning within the OpenCog Hyperon framework, including compatibility with the MeTTa language and MORK knowledge graph. Bids are expected to range from $10,000 - $200,000.
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Timeline: Month 1
Deliverable Description: A comprehensive research and implementation plan for CIAI, defining scope, objectives, and methodologies. Agile work breakdown structure detailing phases, timelines, dependencies, and responsible roles. Conceptual and technical design of the CIAI architecture, including: Information-theoretic conceptual blending engine Multi-agent system role mapping FFCA-based knowledge representation in Atomspace Technical risk analysis and mitigation strategy
$15,000 USD
Success Criteria: Submission of a detailed, peer-review-ready research plan Completion and approval of the framework/system design document Agile project plan with clear sprint timelines and deliverables Positive feedback from at least one OpenCog Hyperon core contributor or reviewer on feasibility and alignment
Timeline: Month 2 to Month 4
Deliverable Description: Implementation of a functional prototype of CIAI demonstrating: MeTTa-based blending agent using entropy/mutual information Fuzzy Formal Concept Analysis (FFCA) engine integrated with Atomspace Working multi-agent collaboration: Retriever, Blender, Evaluator, Checker Initial integration tests with Atomspace and MeTTa expressions Benchmark suite for evaluating: Novelty and coherence of generated blends Query performance and system responsiveness Documentation of architecture, agent interactions, and early insights
$30,000 USD
Success Criteria: All core agents functional and able to process a complete prompt-to-concept generation cycle Demonstrable improvement over baseline symbolic blending methods (quantified with semantic similarity and novelty metrics) Successful execution of benchmark tests on at least 10 concept blending cases Intermediate report submitted, including source code, benchmark results, and testing logs
Timeline: Month 5 to Month 6
Deliverable Description: Fully integrated CIAI framework: Robust MeTTa modules for blending, concept evaluation, and workflow management Distributed system capable of handling parallel blending evaluations Comprehensive evaluation report including: LLM-based and human evaluation metrics on creativity and coherence Stress-testing under variable data volumes and noise conditions Public GitHub repository with: MIT-licensed open-source code Full documentation (developer guides, API references, use cases) Reproducible examples and preloaded test datasets Video demonstration and slide deck for community presentation
$30,000 USD
Success Criteria: Submission of a complete, documented framework with working reproducibility on external systems All major project goals met as per proposal Community demo successfully executed (live or recorded) Approval from project stakeholders and/or acceptance into OpenCog Hyperon toolchain repository
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