Cognis 🧠
Cognis is a personal and social intelligence system that models long-term human cognition using semantic memory, structured persona graphs, and evaluated retrieval-augmented reasoning.
Unlike conventional chatbots or short-context assistants, Cognis is designed as an intelligence layer: it remembers, reasons, explains, and evaluates itself over time.
- Why Cognis Exists
Modern AI systems are largely:
Stateless Short-term Text-only Weakly evaluated Humans, however, are: Temporal (we change over time) Structured (habits affect skills, emotions affect decisions) Contextual (past experience shapes present reasoning) Interpretable (we ask why)
Cognis bridges this gap by introducing long-term memory, cognitive structure, and measurable reasoning into a single system.
- What Cognis Is (and Is Not)
Cognis IS:
A long-term personal intelligence system A structured reasoning engine grounded in memory A measurable and explainable AI system A portfolio-grade, hiring-oriented project
Cognis IS NOT:
A chatbot demo A PDF Q&A toy A short-context LLM wrapper An unmeasured generation pipeline
- Core Capabilities
Semantic Long-Term Memory using embeddings and vector databases Retrieval-Augmented Generation (RAG) for grounded reasoning Persona Graph Modeling of skills, habits, emotions, and goals Explainable Insights rather than generic responses Quantitative Evaluation using RAGAS metrics
- High-Level Architecture User Data ↓ Semantic Memory (Embeddings + Vector Store) ↓ Persona Graph (Structured Cognition) ↓ RAG Reasoning Engine ↓ Insights & Explanations ↓ Evaluation & Feedback Loop
Each layer is modular, testable, and independently explainable.