Cogyto – AI Assistant for Unlimited Productivity

Cogyto serves knowledge-driven organizations by empowering executives, support teams, and analysts with instant insights from documents and business data, enabling all employees to save time and focus on higher-value work.

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Key Features

• Smart Memory – Upload reports, meeting notes, or manuals; Cogyto remembers and retrieves details instantly.
• Real-Time Knowledge – Combines internal data with up-to-date web search for accurate answers.
• Proactive Assistant – Summarizes documents, drafts or sends emails, and automates routine tasks.
• Multilingual Support – Understands and responds in both English and Indonesian.
• RAG Workflow – Uses a plan → execute → reflect cognitive loop for accurate, refined answers.

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Tech Stack

Development

• Backend: Flask, SQLAlchemy
• Database: PostgreSQL (pgvector)
• Knowledge Graph: Neo4j
• LLM: LLaMA
• APIs & Tools: Tavily, SerpAPI (search), Hugging Face Transformers (NLP/vision), smtplib (email)
• Frontend: HTML, CSS, JavaScript (real-time chat UI)

Production (AWS)

• LLM Hosting: LLaMA via Amazon Bedrock
• Vector Store: Amazon Aurora PostgreSQL (pgvector)
• Storage: Amazon S3 (documents, backups)
• Backend: Flask/FastAPI with SQLAlchemy
• Orchestration: LangChain / LlamaIndex
• Frontend: HTML, CSS, JavaScript (streaming-enabled)

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Project Structure

cogyto/
├── run.py                 # App entry point
├── config.py              # Config & env variables
├── app/
│   ├── routes/            # API endpoints (chat, kb, main)
│   ├── services/          # Business logic (chat, uploads, sessions)
│   ├── agents/            # Agentic framework (executor, prompts, memory manager)
│   ├── tools/             # Modular tools (web search, vision, email, knowledge graph)
│   ├── models/            # SQLAlchemy models (conversations, etc.)
│   └── utils/             # Text utils (cleaning, translation, language detection)
├── static/                # Frontend assets (HTML, CSS, JS)
└── docs/                  # Documentation

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How It Works (User Journey)

1. Ask or Upload – Users start by typing a question or uploading documents.
2. Plan – Cogyto,Creates a step-by-step reasoning plan to solve the query.
3. Execute – The system calls the right tools (vector search, knowledge graph, web search, vision analysis, etc.) to gather information.
4. Reflect & Refine – Reviews the draft answer, checks accuracy, and improves clarity before finalizing.
5. Deliver – The user instantly receives a refined, contextual response enriched with insights.

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Roadmap

• Add multimodal support (images, videos)
• Smarter long-term memory & personalization
• Caching & batch reranking for speed
• Improved UI with workflow visualizations