Operational Morphology: The Embodied Cognition of Self-Modifying LLM Agents | DOI: 10.5281/zenodo.21494231
-
Updated
Jul 26, 2026 - Python
Operational Morphology: The Embodied Cognition of Self-Modifying LLM Agents | DOI: 10.5281/zenodo.21494231
An advanced Rust-native AI coding assistant that provides semantic search, impact analysis, automated planning, and safe self-modification capabilities including context packaging, documentation generation, memory management, and Git-integrated workflows.
Experimental autonomous AI agent — memory architecture, IIT Phi consciousness, recursive self-improvement, multi-agent systems.
Grounded self-diagnosis and safe self-modification for OpenClaw agents — no hallucinated field names, no wrong-agent writes, no stale docs
.net driven AI self-modification tool with version management. These modules are capable of testing, rolling back, and disseminating seamless updates as they become available through targeted self-learning.
Self-referential Darwin-style agent forge that evolves its own mutation operators, evaluators, and core components. Built with DeepSeek V4.
therain2020-agent — self-healing, self-evolving AI agent. Modifies its own source code to fix bugs and autonomously grows new capabilities (skills, tools, engine). TypeScript + Bun + React/Ink.
Replay-certified self-modification PoC: public-evidence admission gate with generated comparator covers, lower-tail checks, safe/unsafe growth fallback, and target-witness diagnostics.
Add a description, image, and links to the self-modification topic page so that developers can more easily learn about it.
To associate your repository with the self-modification topic, visit your repo's landing page and select "manage topics."