mindroot 0.1.3

An agent framework using LLMs

Mindroot

Note: some of the following is a work in progress and not yet functional. A few of them aren't really started.

Mindroot is a powerful plugin-based Python framework for creating, deploying, and sharing AI agents and related models. It offers a flexible architecture with indices and a public registry (coming soon) for easily sharing and finding plugins, agents, personas, services, knowledgebases, and apps.

Installation

You can install Mindroot using pip:

pip install mindroot

For development, you can install the package in editable mode:

git clone https://github.com/mindroot/mindroot.git
cd mindroot
pip install -e .

Key Features:

• Public registry for sharing and finding plugins, agents, personas, models, and knowledgebases
  • https://registry.agenthost.org (work in progress)
  • Customizable and swappable for user-specific registries
• Extensible plugin architecture for adding services, commands, and building arbitrary web apps
• Customizable AI agents with persona definitions
• Intelligent service management based on agent requirements
• Flexible service providers for various AI capabilities
• Plugins can add/use hooks and pipelines such as for modifying prompts, running startup commands, or anything you want
• Easily customizable UI built on Jinja2 and Lit Web Components
• Support for both local and remote AI services
• RAG: easily share, find and use pre-generated embeddings and documents for topic knowledgebases

Core Concepts Overview

mindroot revolves around several key concepts:

1. Open Public Registry: A flexible system for indexing and sharing plugins, agents, personas, and potentially models. It can be customized or replaced with user-specific registries.

2. Plugins: Extend the functionality of mindroot, providing new features, services, or integrations.

3. Agents and Personas: AI agents with defined capabilities and customizable personalities.

4. Services and Providers: Backend services that power agent capabilities, with support for swapping between local and remote implementations.

5. Intelligent Service Management: The system automatically determines and installs required services based on agent definitions.

6. UI Customization: Easily modifiable user interface through theme overrides and injections.

7. RAG and Knowledgebases: The community can easily share and search for topic embeddings and document sets rather than everyone rebuilding them per topic.