An agent framework using LLMs
Project description
Table of Contents
- Gallery
- Installation
- Configuration
- Starting the Server
- Installing Plugins
- Developers: Creating Plugins and Tool Commands etc.
- Adding Commands to Agents
- API Documentation
- Key Features
Mindroot
Gallery
Admin Interface
Plugin Management
3D Graph Visualization
Chain Rule Explanation
Character Generation
Fantasy Character Creation
Morgan's Method
Heygen Integration Demo
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:
(You probably want to create a virtual environment first: python -m venv venv and source venv/bin/activate)
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 .
Configuration
You will need to set environment variables like JWT_SECRET_KEY (anything you want) and LLM provider keys etc.
To enable email verification: env. variable REQUIRE_EMAIL_VERIFY=true
Starting the Server
Go to the directory with the virtual environment and run:
mindroot
or if you want to start the server on a different port:
mindroot -p 8001
Note that you will always need to start from that working directory if you want your settings to be preserved.
Installing Plugins
Most of the commands or services are in plugins that you have to install. Go to the /admin page and find the Plugins section Click on the 'default' Index It should show a list of Plugins I suggest installing all of them.
The first would be either Anthropic (recommended) or OpenAI
Important: You will need either ANTHROPIC_API_KEY or OPENAI_API_KEY set in your environment variables.
To install a plugin just click the Install button and wait 10-20 seconds and you will see a confirmation pop up.
Important: You will need to restart the server to see the changes.
For now I recommend not using the Server control section on the Admin page but rather just
hit Control-C in the terminal and then run mindroot again.
Developers: Creating Plugins and Tool Commands etc.
See the Plugin Documentation
Adding Commands to Agents
Go to Admin -> Agents Select an agent from the drop down, such as Assistant
There are toggle switches for all of the commands. I recommend avoiding the 'replace_' commands in files for now because they are not reliable.
API Documentation
MindRoot provides a REST API for programmatic interaction with agents. This allows you to integrate AI capabilities into your applications without using the web interface.
For detailed information on available endpoints, authentication, and usage examples, see the API Documentation.
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mindroot-4.0.1.tar.gz.
File metadata
- Download URL: mindroot-4.0.1.tar.gz
- Upload date:
- Size: 8.5 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
562541929f1306b7a18af3d96f66a654861866df0aef7bfaf88a5ef7936f60a0
|
|
| MD5 |
504819f581a6309460f0bf965b6db6a4
|
|
| BLAKE2b-256 |
edf865250b3b3500b385538a7d1ffe07f9b756b195d02249452cbcbe193fb957
|
File details
Details for the file mindroot-4.0.1-py3-none-any.whl.
File metadata
- Download URL: mindroot-4.0.1-py3-none-any.whl
- Upload date:
- Size: 9.7 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7d9c65181b4d1b6241ddfad9caa4c119bbd13410e4cbe10b7eac63c31feee0d3
|
|
| MD5 |
04de4818e76c830b2c0495ea85d64c86
|
|
| BLAKE2b-256 |
1ba2281ce095028b48cf11db2b90edb7b79956a7083ed10cdd362f2b36456950
|