Major Local LLMs in 2026
Major local LLMs and compact Agent candidates, with the deployment trade-offs of low-bit weights, SSD expert streaming, and context-management harnesses.
Knowledge
Public procedures and design decisions, organized by topic.
Major local LLMs and compact Agent candidates, with the deployment trade-offs of low-bit weights, SSD expert streaming, and context-management harnesses.
A step-by-step approach to integrating a local LLM into game NPCs while separating game state, intent proposals, validation, and execution.
Learn how to separate models from agent harnesses, keep knowledge and procedures authoritative in the repository, and evaluate coding agents and local LLMs incrementally.
Unreal MCP Editor operations, Toolset Registry, and client controls, with lessons from a local-LLM user report about execution, verification, and stopping.
A task workflow that keeps the human-facing lifecycle in GitHub while using a custom .team registry only for active leases and path-conflict prevention.
A small experiment that keeps A/B measurements for 1,000 and 5,000 entities separate from a fixed-condition visual comparison and a project-specific default-value decision.
A maturity-aware review of gamescom dev 2026 announcements covering coding agents, autonomous QA, gameplay AI, local SLMs, neural rendering, trust, and governance.
A source-separated analysis of RyzaChat:AI store reviews, public play reports, and Reddit reactions, focused on the design and monetization conditions required for an AI-driven conversational RPG.