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Project Roadmap

This document outlines the potential future direction for AI Agent Architect. Our goal is to evolve this tool into a more powerful and integrated solution for AI development. These are ideas for future development and are subject to change.

Q4 2024: Enhanced Generation & Customization

  • [ ] Template Library: Introduce a library of pre-defined agent templates (e.g., "Customer Support Bot," "Data Analyst," "Code Generator") that users can select and customize.
  • [ ] Fine-Grained Controls: Add advanced options to control the tone, verbosity, and format of the generated output.
  • [ ] Multiple File Formats: Allow users to export the generated files in different formats, such as JSON, YAML, in addition to Markdown.
  • [ ] Improved UI/UX: Refine the user interface with better loading states, success notifications, and a more interactive display for the generated content.

Q1 2025: Integration & Workflow Automation

  • [ ] Version History: Implement a system to save and manage different versions of generated agent configurations.
  • [ ] GitHub Integration: Add functionality to directly create a new GitHub repository with the generated files, including a basic project structure.
  • [ ] Code Snippet Generation: Extend the generation capabilities to produce boilerplate code snippets (e.g., a basic Python class or a Node.js service) based on the agent's persona.
  • [ ] Collaboration Features: Allow users to share a link to their agent configuration for team collaboration.

Q2 2025: Advanced AI Capabilities

  • [ ] Multi-Agent Systems: Introduce features for defining interactions and relationships between multiple agents within a single project.
  • [ ] Model Selection: Allow users to choose between different Gemini models (e.g., Pro for high-quality generation, Flash for speed) based on their needs.
  • [ ] Feedback Loop: Implement a mechanism for users to rate the quality of the generated files and provide feedback, which could be used to refine the generation prompts over time.

Long-Term Vision

  • [ ] Visual Agent Designer: A drag-and-drop interface for building agent workflows and defining their capabilities visually.
  • [ ] Full Project Scaffolding: Evolve from generating documentation to scaffolding complete, runnable starter projects based on the agent's definition.
  • [ ] Marketplace for Agents: A platform where developers can share and discover pre-built agent configurations and templates.

We welcome contributions and suggestions from the community. If you have an idea you'd like to see on this roadmap, please open an issue on GitHub to start a discussion.

Ideas ONLY Do not implement without explicitly being asked by the user

Expand the agent creation tool to include a personality matrix. The user should be able to select or input a range of personality traits (e.g., tone, communication style, emotional disposition) that will define the agent's behavior and responses.

Integrate a memory system for the AI agents. Agents should be able to recall previous conversation topics, user details, and stated preferences to maintain context and provide more personalized interactions. Define how this memory will be stored and accessed.

Create a feature for the AI agent creator that offers a library of predefined agent templates. Each template should come with a suggested role, personality traits, and a brief description of its intended use. Allow users to select a template and then customize it further.