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System Architecture

Devika's system architecture consists of the following key components:

  1. User Interface: A web-based chat interface for interacting with Devika, viewing project files, and monitoring the agent's state.
  2. Agent Core: The central component that orchestrates the AI planning, reasoning, and execution process. It communicates with various sub-agents and modules to accomplish tasks.
  3. Large Language Models: Devika leverages state-of-the-art language models like Claude, GPT-4, and Local LLMs via Ollama for natural language understanding, generation, and reasoning.
  4. Planning and Reasoning Engine: Responsible for breaking down high-level objectives into actionable steps and making decisions based on the current context.
  5. Research Module: Utilizes keyword extraction and web browsing capabilities to gather relevant information for the task at hand.
  6. Code Writing Module: Generates code based on the plan, research findings, and user requirements. Supports multiple programming languages.
  7. Browser Interaction Module: Enables Devika to navigate websites, extract information, and interact with web elements as needed.
  8. Knowledge Base: Stores and retrieves project-specific information, code snippets, and learned knowledge for efficient access.
  9. Database: Persists project data, agent states, and configuration settings.

Read ARCHITECTURE.md for the detailed architecture of Devika. Read UNDER_THE_HOOD.md for the detailed working of Devika.