Local Agent-in-a-Box Runtime Tuned for 12GB to 16GB Consumer GPUs So Self-Hosters Can Run Real Tool-Calling Agents Without a $4,000 Card
r/LocalLLaMA's 686,000 members keep flagging the same gap: every published 'agent framework' assumes either cloud APIs or a 24GB+ GPU, while the real installed base is RTX 4060 Ti 16GB, 3080 12GB, Mac M-series Mini, and similar mid-tier hardware. The opportunity is a one-shot installer that ships a tool-calling agent (browser, files, RAG over local docs, MCP) tuned to actually fit in 12-16GB with sensible default models and reasonable speed. Bonus points if it ships an app-store-style catalog of vetted skills.
Pick two GPU tiers (16GB and 12GB) and validate three real tasks against them (browse-and-summarize, code-edit-in-folder, RAG-over-PDFs) before you ship anything. The trap is shipping for 24GB and adding a 'compat mode' later... the 24GB market is small enough that Anthropic-Claude and Ollama-power-users already own it. The real audience is the QuitGPT switcher who bought one consumer card.
landscape (4 existing solutions)
The market is bifurcated between 'consumer chat UIs' (Jan, Open WebUI) and 'developer frameworks' (LangGraph). The middle — a Plex-like one-installer agent platform that just works on a mid-tier rig — does not exist, even though the QuitGPT exodus is actively creating demand for it.