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Core SDK for building FEAGI agents, controlling the neural engine, and creating marketplace packages (without Brain Visualizer)

Project description

FEAGI Python SDK

Build AI agents that learn like biological brains

PyPI Python Discord License


Installation Options

Full Experience (Recommended for most users):

pip install feagi

Includes:

  • FEAGI itself, for running neuronal simulations
  • Brain Visualizer, for real-time 3D neural activity visualization (~196MB) on Linux, macOS, and Windows
  • Python bindings for FEAGI libraries (intended for advanced users)
  • FEAGI Agent Python SDK for rapidly making agents for FEAGI

Slim/Core (Recommended for Production):

pip install feagi-core

Includes:

  • Python bindings for FEAGI libraries (intended for advanced users)
  • FEAGI Agent Python SDK for rapidly making agents for FEAGI

Note: Both packages use identical imports (from feagi import ...)


What is FEAGI?

FEAGI (Framework for Evolutionary Artificial General Intelligence) is a biologically inspired, modular neural execution engine designed for embodied AI and robotics. FEAGI enables spiking-neural-circuit-driven perception, cognition, and control across simulated and physical embodiments, with a strong emphasis on real-time interaction, modularity, and cross-platform deployment.

FEAGI serves as the core neural runtime behind Neurorobotics Studio, powering a growing ecosystem of reusable neural components ("brains"), tools, and integrations for robotics and physical AI.

The FEAGI Python SDK

The FEAGI Python SDK provides the tools you need to:

  • Connect robots and devices to FEAGI's neural network
  • Build learning agents for robots, simulators, and games
  • Visualize neural activity in real-time with Brain Visualizer
  • Control and manage FEAGI from Python code
  • Interface with diverse embodiments through standardized communication protocols

Key Concepts

  • Neuromorphic by Design – FEAGI is built as a neuromorphic framework inspired by biological neural computation. While it currently runs on conventional CPUs and GPUs, native support for neuromorphic hardware is a near-term roadmap item, enabling direct execution on event-driven, spike-based accelerators as they mature.

  • Embodied Intelligence First – FEAGI is designed to control bodies (robots, agents, simulations), not just process static data.

  • Spiking Neural Networks (SNNs) – Uses event-driven neuron firing rather than frame-based inference.

  • Modular Neural Architecture – Neural circuits can be composed like building blocks (Lego-like micro-circuits).

  • Real-Time Closed Loop – Continuous perception → cognition → action loop.

  • Cross-Simulator & Hardware Support – One brain, many bodies.


Quick Start

Get started with FEAGI in just 2 lines:

pip install "feagi"
feagi start 
feagi bv start

That's it! This installs FEAGI with Brain Visualizer, creates default configuration automatically, and launches the visualizer. The same feagi bv start command works on Linux, macOS, and Windows.

Documentation


Configuration Management

Initialize FEAGI environment with default configuration:

feagi init

This creates:

  • Configuration: ~/.feagi/config/feagi_configuration.toml
  • Genomes directory: ~/Documents/FEAGI/Genomes/ (macOS/Windows) or ~/FEAGI/genomes/ (Linux)
  • Connectomes directory: ~/Documents/FEAGI/Connectomes/ or ~/FEAGI/connectomes/
  • Logs and cache directories

For complete configuration options and customization, see DEPLOY.md.

Start FEAGI Engine from Python

from feagi.engine import FeagiEngine

engine = FeagiEngine()
engine.load_config()  # Uses default config
engine.load_genome("my_brain.json")  # Loads from genomes directory
engine.start()

Or from command line:

feagi start --config ~/.feagi/config/feagi_configuration.toml --genome my_brain.json

SDK Architecture

feagi/
├── agent/           # Agent framework (BaseAgent)
├── pns/             # Peripheral Nervous System (communication)
├── engine/          # Engine control
├── config/          # Configuration management
├── paths/           # Cross-platform path utilities
├── cli/             # Command-line tools
├── genome/          # Runtime genome manipulation (coming soon)
├── connectome/      # Brain state management (coming soon)
└── packaging/       # Marketplace packages (coming soon)

Examples

See examples/ for complete agent implementations:

  • Basic sensory agent
  • Robot agent (SDK-based)
  • Simulator agent (Webots)
  • Vision processing

Community & Support


Requirements

  • Python 3.10 or higher
  • Works on Linux, macOS, and Windows

License

Apache 2.0 - See LICENSE for details.

Copyright 2016-2025 Neuraville Inc. All Rights Reserved.


About Neuraville

FEAGI is developed by Neuraville, a company focused on democratizing robotics and enabling the next generation of embodied AI through modular, biologically inspired intelligence systems.

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