Agent memory, AI-ops, pgvector starters, and media automation tools.
Trent Doney PRO
trentdoney
AI & ML interests
I’m interested in production-grade AI agent infrastructure: operational memory, multi-agent orchestration, MCP/Skills tooling, retrieval with provenance, and local-first AI systems. I build around PostgreSQL/pgvector, TypeScript, Python, and self-hosted inference, with a practical focus on agents that can remember, recover, and produce inspectable evidence beyond demos. I’m also interested in creative AI pipelines, including ComfyUI, LoRA workflows, image/video generation, and using generated media as proof of real system capability.
Recent Activity
updated a collection about 17 hours ago
BrainCore Collective updated a dataset about 17 hours ago
trentdoney/synthetic-incident-search-benchmark published a dataset about 17 hours ago
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