Nevron
Backbone of all Agents in Neurobro Ecosystem
Last updated
Backbone of all Agents in Neurobro Ecosystem
Last updated
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: 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.
Accessibility AI tools built for everyone, from casual learners to large enterprises.
Transparency Open-source code and decision-making processes to foster trust and collaboration.
Sustainability Balanced growth, focusing on long-term viability and community health.
Decentralization Tools that reduce reliance on centralized entities, embracing blockchain and Web3.
Collaboration Active engagement with a global community of developers and researchers.
Ethical AI Systems that respect privacy, promote fairness, and align with human values.
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.
Planning Module
Employs Q-learning for data-driven decision-making.
Configurable parameters (learning rate, discount factor, exploration rate).
Memory Module
Stores and retrieves context with vector embeddings.
Supports multiple backends (Chroma, Qdrant).
Feedback Module
Processes action outcomes and updates the Q-learning model.
Tracks performance metrics to enhance future decisions.
Tools
Adapters and integrations for external services (Telegram, Twitter, research APIs).
Easily expandable with new tools.
LLM Integration
Empowers natural language understanding and generation.
Works with OpenAI (GPT-4o, text-embedding-3-small), Anthropic, and more.
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.
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.
