lorekit

Shared persistent memory for coding agents, backed by LoreKit's MCP server. Reads scoped lessons at the start of a task or when navigating into unfamiliar code (narrow-to-broad scope resolution across branch, repo, project, and global), and writes a lesson when something goes wrong — a stuck loop, a repeated command failure, a surprising gotcha, a near-miss, or a wrong assumption that cost time. Lessons are phrased as observations (never rigid rules), scoped to the narrowest namespace that fits, and deduplicated on write. Use at task start, before risky operations, and after any failure or retrospective. Triggers on "read lessons", "check memory", "what do we know about", "remember this", "save a lesson", "record this gotcha", "capture this lesson", "/lorekit-memory".

Sets up a self-improvement loop for a skill, workflow, or agent using LoreKit, so a host gets better across runs by reading its own accumulated lessons at the start of every run and hardening the proven ones into permanent rules. Designs the two tiers (a fast episodic tier of LoreKit lessons, advisory-only; a slow procedural tier that promotes a recurring lesson into a host rule), chooses the lesson bucket (tag + key namespace) and scopes, and installs the entrenchment guards that stop a learning loop from reinforcing its own mistakes. Runtime reading and writing of lessons is the lorekit-memory skill; this is the authoring counterpart. Use when giving a host durable cross-run memory or wiring a lessons loop. Triggers on "set up memory for my skill", "add a self-improvement loop", "give my workflow memory", "make this learn from its mistakes", "self-improving memory", "/lorekit-setup".