Global guidance for working with the roku-mcp Model Context Protocol server. Apply whenever an agent has access to roku tools (Roku device automation, deploy, ECP control, screenshots, debug console, BrightScript profiler, Perfetto tracing, runtime SceneGraph UI editing via RTA).
Open-source, modular “brain” for AI employees. Integrates with n8n and workflow engines, features persistent agent memory, natural language interface, and feedback loops. SaaS-ready, extensible, and easy to deploy with Docker.
Use when prose reads like AI — to remove "AI slop" (empty hedging, listicle stems, smooth transitions that hide the absence of a claim, generic filler) and rewrite it into writing with a real point of view. Trigger on requests like "humanize this", "de-slop", "remove the AI slop", "make this sound less like AI / less…
Como construir e executar grafos de tasks (DAG) do método DARE com paralelismo lógico via dare-dag.yaml. O Cursor é o executor; o CLI dare é orquestrador.
Live graph memory for agents — query and create entities, derive relationships by rule, explain why two things are associated, read the graph at a past commit, ask what a change would do, and answer as one role.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: