edyant 0.0.1a1

Framework for embodied AI systems that maintain continuity across physical interactions, environments, and time.

Persistence & Continuity Framework

A framework for AI systems that maintain meaningful continuity across interactions, contexts, and time.

This project treats memory as lived contextual experience so agents can retain skills, world models, and performance history across sessions. The goal is to enable safe, reliable long-term collaboration between humans and AI in shared organizational and personal environments.

What it provides

• Layered memory for episodic, semantic, and procedural experience
• Skill retention across sessions and multi-session task resumption
• Performance awareness, drift/degradation monitoring, and adaptive compensation
• Safety-first incident memory, explainable recall, and governance-aware retention

Status

Early research and framework design. APIs and storage formats are expected to change.

Technical details

Field	Value
Hardware	CPU-first; no GPU or CUDA required
Acceleration	Optional (hardware-agnostic)
Project Name	edyant-persistence
Description	Framework for AI systems that maintain continuity across interactions, contexts, and time
Python Requirement	Python >= 3.11
License	Apache License 2.0
Author	Edyant Labs
Contact	[e-mail]

Install

python -m pip install edyant-persistence

Test releases (TestPyPI):

python -m pip install \
  --index-url https://pypi.org/simple \
  --extra-index-url https://test.pypi.org/simple/ \
  edyant-persistence

Learn more

See about.md for the full framework narrative, research threads, and governance considerations. The license is in LICENSE.