ABI

Agent Based Intelligence

Overview

The ABI (Agent Based Intelligence) project is a Python-based backend framework designed to serve as the core infrastructure for building an Agentic AI Ontology Engine. This system empowers organizations to integrate, manage, and scale AI-driven operations with a focus on ontology, agent-driven workflows, and analytics. Designed for flexibility and scalability, ABI provides a customizable framework suitable for organizations aiming to create intelligent, automated systems tailored to their needs.

Why ABI?

The ABI project aims to provide a open alternative to Palantir by offering a flexible and scalable framework for building intelligent systems using ontology. Unlike Palantir, which is often seen as a monolithic solution, ABI emphasizes modularity and customization, allowing organizations to tailor their AI-driven operations to specific needs. Combined with the Naas.ai ecosystem, ABI can be used to build the brain of your organization's agentic AI applications.

Key Features

• Assistants: Configurable AI assistants (also named agents) to handle specific organizational tasks and interact with users.
• Ontology Management: Define and manage data relationships, structures, and semantic elements.
• Integrations: Seamlessly connect to external data sources and APIs for unified data access.
• Pipelines: Define data processing pipelines to handle and transform data efficiently into the ontological layer.
• Workflows: Automate complex business processes and manage end-to-end workflows.
• Analytics: Access insights through integrated analytics and real-time data processing.
• Data: Handle diverse datasets and manage schema, versioning, deduplication, and change data capture.

Quick Start

Step 1: Clone the repository

git clone https://github.com/jupyter-naas/abi.git

Step 2: Setup environment variables

cp .env.example .env

Step 3: Run the project

make

This will run the supervisor agent and the agentic engine.

For specific agents, you can run them directly with the following command:

make chat-[name]-agent

Step 4: Build and run the API

You need to build the API before running it. Find out more about the API in the API documentation.

make api

Step 5: Build your own module

make build-module

This will build the agent and save it in the /src/custom/modules directory.

Contributing

We welcome contributions! Please read the contributing guidelines for more information.

License

ABI Framework is open-source and available for use under the MIT license. Professionals and enterprises are encouraged to contact our support for custom services as this project evolves rapidly at support@naas.ai