Joshua Craig

Helix-AGI is an Agentic AI harness system that runs on a continuous daemon pulse with a fully dynamic module context window compilation system. Bicameral release utilizes dual pipelines for speech and action/sense creating an agent with something closer to digital qualia than plain text tool calls and returns.

Habitus-AI is fundamentally new approach to AI Agent Memory Systems and Cognitive Harness. Dual-Cypher system runs along perpendicular graphs. Mutate edges in real time. Builds habits and dynamic personality traits. Can call tool reflectively, connect complex concepts to learned words, and send plain text outputs without needing an LLM

First-Person Agent Memory Bench. 10 Categories including fact recall, multi-hop links, temporal reasoning, fact overwrites, speaker traps, refusal, credibility, and agentic tool usage. 540K token / 60 session corpus, all in first person. Dynamic output-answer-key portion. Comprehensive report with visuals and miss breakdown.

Built from the Habitus-AI system designed to give large model capabilities to a small parameter model running on consumer hardware. MightyMem includes an automating tool cortex, full Just-in-Time context window assembly, and habitual pattern matching to produce advanced skills and tasking far beyond what a 7-9B model would otherwise be capable of.