cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "Self-Correcting Agent Kernel: Automated Alignment via Differential Auditing and Semantic Memory Hygiene"
version: 1.1.0
date-released: 2026-01-18
authors:
  - family-names: "Self-Correcting Agent Team"
    name: "Self-Correcting Agent Team"
repository-code: "https://github.com/imran-siddique/self-correcting-agent-kernel"
url: "https://github.com/imran-siddique/self-correcting-agent-kernel"
abstract: "A production-ready self-correcting agent kernel implementing dual-loop architecture (runtime safety + alignment engine) with differential auditing, semantic purge, and three-tier memory hierarchy. Novel contributions include Type A/B patch decay taxonomy, 5-10% audit overhead via give-up signal detection, and 40-60% context reduction on model upgrades."
keywords:
  - "AI agents"
  - "self-correction"
  - "alignment"
  - "differential auditing"
  - "semantic purge"
  - "production ML"
  - "agent reliability"
  - "context management"
license: MIT
preferred-citation:
  type: software
  title: "Self-Correcting Agent Kernel: Automated Alignment via Differential Auditing and Semantic Memory Hygiene"
  authors:
    - family-names: "Self-Correcting Agent Team"
      name: "Self-Correcting Agent Team"
  year: 2026
  url: "https://github.com/imran-siddique/self-correcting-agent-kernel"
  notes: "Research foundations: Reflexion (NeurIPS 2023), Constitutional AI (Anthropic 2022), Voyager (arXiv:2305.16291)"
references:
  - type: article
    title: "Reflexion: Language Agents with Verbal Reinforcement Learning"
    authors:
      - family-names: Shinn
        given-names: Noah
      - family-names: Cassano
        given-names: Federico
      - family-names: Gopinath
        given-names: Ashwin
      - family-names: Narasimhan
        given-names: Karthik
      - family-names: Yao
        given-names: Shunyu
    year: 2023
    conference: "NeurIPS 2023"
    url: "https://arxiv.org/abs/2303.11366"
  - type: article
    title: "Constitutional AI: Harmlessness from AI Feedback"
    authors:
      - family-names: Bai
        given-names: Yuntao
    year: 2022
    publisher: "Anthropic"
    url: "https://arxiv.org/abs/2212.08073"
  - type: article
    title: "Voyager: An Open-Ended Embodied Agent with Large Language Models"
    authors:
      - family-names: Wang
        given-names: Guanzhi
    year: 2023
    url: "https://arxiv.org/abs/2305.16291"
