A Chinese-language interview-question guide for roles focused on AI-agent development. It covers agent design, language-model calls, tool integration, MCP, retrieval-augmented generation, context management, and multiple agents working together.
Use when the user mentions Nubase broadly, wants a backend for an AI-generated app, or needs to deploy/publish generated code online — across Database, Auth, Storage, Assets (static frontend CDN), Functions (edge/serverless), AI Gateway, Memory, cron/scheduled jobs, Supabase-style REST/RLS, servicerole keys, or MCP.…
Structured memory capture for Ogham shared memory. Use when the user wants to store findings, remember something, save what was learned, or capture a decision. Triggers on "remember this", "store this", "save this finding", "save what we learned", "capture this decision", "log this", or any request to persist…
Use when the GM wants to prepare a new RPG session — creating a session folder, main prep file, and scene sub-files in the Obsidian vault. Triggers on requests to prep, plan, or create a new session, or to build encounters and scenes using the 5 Room Dungeon or Situations frameworks.
Select and connect the right vector-store backend for the vector-mcp MCP server — chromadb, postgres/pgvector, qdrant, couchbase, or mongodb — and supply the correct dbtype/connection parameters that every collection and search call needs. Use when the agent must decide which engine to target, wire up…
A reference for using weasley-deepmind, a server that stores and retrieves an AI agent’s long-term memories between sessions. It describes memory storage, search, language processing, and related tools.
A persistent memory service for AI coding assistants, storing project rules, architecture decisions, bug fixes, and other knowledge across sessions. It uses a database to search stored information by meaning.
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originalMIT
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: