Ogummaa History is an advanced research and contextual intelligence platform engineered to transform static historical archives into multidimensional, interconnected knowledge graphs. Powered by a sovereign Retrieval-Augmented Generation (Graph-RAG) pipeline, it maps primary sources, manuscripts, and oral histories across exact temporal coordinates and geospatial markers, uncovering hidden multi-hop correlations across centuries and borders.
“History is not a flat sequence of isolated records—it is a dense web of overlapping lives, migrations, and turning points reconstructed through sovereign AI and verifiable primary sources.”
An enterprise-grade autonomous agent development harness built on Google Agent Development Kit (ADK 2.x) and Vertex AI. The platform provides an opinionated orchestration harness featuring persistent cross-session memory via Vertex AI Memory Bank, autonomous background self-improvement loops (“nightly dream passes” and judge forks), and multi-agent collaborative research pipelines designed for long-horizon task execution.
A modular adoption stack designed for high-security development. Features L1 Bare Agent CLI scripts with scoped local Git auditing and PR management; L2 headless FastAPI and FastMCP surfaces serving Gemini and local Gemma models; L3 unattended cron-scheduled routine execution; and L4 isolated uv environment sandboxes managing multi-folder codebases from a single centralized developer portal.
Zero-trust security architecture enforcing rigorous boundaries across agent actions. Combines Layer A Exfil Guards (blocking credential leaks and unauthorized outbound data), Layer C Policy Classifiers (preventing destructive OS commands), and Layer D Permission Gates (requiring human confirmation for consequential tasks) with sovereign data governance ensuring total privacy and client data ownership.
Puplampu Consulting — AI Architecture, Sovereign Knowledge Systems, Quantum Computing, Cybersecurity, and Enterprise Agentic Governance.