https://github.com/pythonicforge/neuro-schema

💡 A modular framework for building self-learning, self-evolving AI agents — blending identity, memory, behavior, and introspection into one neuro-inspired system.
https://github.com/pythonicforge/neuro-schema

Last synced: 6 months ago
JSON representation

💡 A modular framework for building self-learning, self-evolving AI agents — blending identity, memory, behavior, and introspection into one neuro-inspired system.

• Host: GitHub
• URL: https://github.com/pythonicforge/neuro-schema
• Owner: pythonicforge
• License: apache-2.0
• Created: 2025-06-23T15:07:06.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2025-06-23T19:53:41.000Z (6 months ago)
• Last Synced: 2025-06-23T20:39:12.009Z (6 months ago)
• Language: Python
• Size: 12.7 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
#  Neuro-Schema

Neuro-Schema is an experimental framework for building **self-learning, self-evolving AI agents** with a soul-like structure.

Inspired by cognitive architectures and modular intelligence, this system fuses the following key components:

- **Core Identity Matrix** — defines the agent’s personality, values, and core constraints.

- **Memory System** — captures and organizes lived experiences as events.

- **Behavioral Policy Engine** — decides how the agent acts, rooted in identity and memory.

- **Self-Evolution Layer** — enables safe, sandboxed code/config updates during "rest cycles".

- **Metacognition Module** — allows the agent to reflect on its own performance and guide self-improvement.




## What This Is

A playground for:

- Building toy agents with personality and memory.

- Experimenting with self-modifying architectures.

- Designing sandboxed safety layers and guardrails.

- Embedding reasoning and introspection into agents.

- Running nightly rest cycles for personalization & learning.




## Vision

Think of this like the “React.js for self-learning AI.”

Just like React helped developers build reactive UIs by abstracting the hard parts, **Neuro-Schema is meant to give you a structured, modular baseline for building AI agents that evolve over time** — safely, intentionally, and transparently.

This is the beginning of a framework where:

> _“An agent doesn't just respond… it grows.”_




## Current Status

- [x] **Prototype phase** — core modules being scaffolded and stubbed.  

- [ ] First working agent loop with Identity, Memory, and basic Policy is live. (coming soon)




## Why This Matters

We’re entering a world of personalized AI. But most systems today are static, fragile, and unreflective.

**Neuro-Schema is an effort to imagine what comes next**:  

Agents that can remember, reflect, evolve, and stay grounded in their values — like digital minds with their own inner compass.