(Industry standard: Meta-Learning System / Automated Autoresearch) Primary Use Case: Continuous, self-improving orchestration of an agentic system over multiple sessions. Use when: building a continuous improvement layer that autonomously identifies workflow friction, postulates hypotheses, and tests improved…
Cleans the RLM summary cache by removing entries for files that no longer exist on disk. Trigger when the user says "clean the RLM cache", "remove stale summaries", "the RLM cache has entries for deleted files", or "prune outdated RLM entries". user: "The RLM cache has summaries for files I deleted" assistant: "I'll…
Curates and maintains the RLM summary cache — updates stale summaries, validates cache integrity, and promotes high-quality entries. Trigger when the user says "curate the RLM cache", "update stale summaries", "validate RLM integrity", or "the summaries are outdated". user: "Some of my RLM summaries are outdated after…
Distills files into dense RLM summaries using the configured CLI backend (Copilot, Agy, or Claude). Runs the full distillation pipeline for new or updated files. Trigger when the user says "distill files", "run RLM distillation", "generate summaries for new files", or "update the RLM ledger". user: "Run distillation…
Guided setup wizard for the rlm-factory plugin. Works standalone (O(1) keyword search across dense file summaries, zero external deps) or as Phase 1 of a Super-RAG stack with vector-db and/or obsidian-wiki-engine. Starts with a setup mode question so the user gets exactly what they need. Creates rlmprofiles.json and…
Initializes the RLM cache for an existing project — creates rlmprofiles.json, scans configured directories, and runs the first distillation pass. Trigger when the user says "initialize RLM", "set up RLM for this project", "create the RLM profile", or "first-time RLM setup". For a guided wizard experience use the…
Searches the RLM summary cache using keyword lookup (Phase 1 of the 3-phase search protocol). Fast O(1) lookup across dense file summaries — no embeddings required. Trigger when the user says "search the RLM cache", "find files using RLM", "keyword search the summaries", or "Phase 1 search". For semantic/vector search…
Removes stale chunks from the ChromaDB vector store for files that have been deleted or renamed on disk. Dry-run by default — shows what would be removed without deleting. Trigger when the user says "clean the vector database", "remove stale vector entries", "vector DB has orphaned chunks", or "sync the vector store…
Ingests repository files into the ChromaDB vector store by chunking and embedding them. Supports full rebuild (--full) or incremental update (--since N hours). Trigger when the user says "ingest files into the vector store", "rebuild the vector index", "update the vector DB with new files", or "re-index the…
Guided setup wizard for the vector-db plugin. Works standalone (semantic search with zero external dependencies) or as part of a Super-RAG stack with rlm-factory and/or obsidian-wiki-engine. Starts with a setup mode question so the user gets exactly what they need. Installs Python dependencies, creates…