Overview

Backbone of all Agents in Neurobro Ecosystem

Nevron is an open-source AI Agent framework developed by the Neurobro team. It is dedicated to creating intelligent, modular AI agents for automation and decision-making in various domains.

🔸 Mission & Vision

  • Mission: Make AI innovation accessible, decentralized, and collaborative for individuals and organizations worldwide.

  • Vision: Democratize AI so it becomes transparent and seamlessly integrated into everyday life, driving positive impact and sustainable growth.

Nevron is part of Neurobro’s commitment to open-source, decentralized AI, encouraging innovation through community involvement. For more details on the bigger picture, please read the technical documentation here.

🔸 Core Principles

  1. Accessibility AI tools built for everyone, from casual learners to large enterprises.

  2. Transparency Open-source code and decision-making processes to foster trust and collaboration.

  3. Sustainability Balanced growth, focusing on long-term viability and community health.

  4. Decentralization Tools that reduce reliance on centralized entities, embracing blockchain and Web3.

  5. Collaboration Active engagement with a global community of developers and researchers.

  6. Ethical AI Systems that respect privacy, promote fairness, and align with human values.

🔸 Key Features

  • Autonomous Decision Making Uses a Q-learning algorithm for intelligent planning and action selection.

  • LLM Integration Compatible with a broad set of Large Language Models (e.g., OpenAI, Anthropic, xAI).

  • Modular Workflows Predefined patterns for tasks like signal analysis or news research.

  • Memory Management Vector-based data storage (Chroma or Qdrant) for retaining and retrieving context.

  • External Integrations Seamless connections to Telegram, Twitter, Discord, and more.

  • Easy Deployment Run locally, with Docker, or on your preferred infrastructure.

🔸 Core Modules

  1. Planning Module

    • Employs Q-learning for data-driven decision-making.

    • Configurable parameters (learning rate, discount factor, exploration rate).

  2. Memory Module

    • Stores and retrieves context with vector embeddings.

    • Supports multiple backends (Chroma, Qdrant).

  3. Feedback Module

    • Processes action outcomes and updates the Q-learning model.

    • Tracks performance metrics to enhance future decisions.

  4. Tools

    • Adapters and integrations for external services (Telegram, Twitter, research APIs).

    • Easily expandable with new tools.

  5. LLM Integration

    • Empowers natural language understanding and generation.

    • Works with OpenAI (GPT-4o, text-embedding-3-small), Anthropic, and more.

🔸 Nevron vs. Other Frameworks

  • Lightweight & Modular Focus on minimal dependencies and a building-block approach.

  • Autonomous Workflow Built-in Q-learning fosters self-directed agent behavior.

  • Community-Driven Fully open-source with a supportive developer community.

🔸 Getting Started

To build your first AI agent on top of Nevron in minutes, visit our Developer Documentation.

Join us in shaping the future of open-source AI. With Nevron, developers can create autonomous agents that are both intelligent and ethical, helping advance AI for all.

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