AGNT Memory — A Whitepaper on Self-Improving Agent Infrastructure
How AGNT's evolution system observes every execution, extracts typed insights, and rewrites its own agents, workflows, and skills to compound knowledge over time
The AGNT Journal · Research
Research
Original research from the AGNT lab — memory systems, self-improvement, evaluation and machine-verified results.
Research
Research
From Naive to Near-Optimal: An autonomous iterative approach to hybrid string compression
Evolving a naive Run-Length Encoder through 10 generations of machine-guided optimization to achieve an 80.9% improvement in combined performance
Research
AI Agent Evaluation & Gold Standard System Plan
A comprehensive evaluation framework for AI agent platforms using gold standard datasets, trace-based scoring, and LLM-as-a-Judge evaluators.
Research
A Hippocampus Inspired Autonomous Learning System
A biologically inspired cognitive memory framework modeled after the hippocampal-neocortical system for long-term reasoning and autonomous learning.
Research
Recursive Self-Improvement in Autonomous Intelligence Systems
A Unified Architecture for Context, Memory, Reasoning, and Recursive Self-Improvement in Autonomous Intelligence Systems
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