Persistent Memory — LM Studio Plugin

Give your local LLM a long-term brain. This plugin stores facts, preferences, projects, and notes across conversations in a local SQLite database — zero cloud, zero external services, fully portable.

Retrieval Scoring (Inspired by SRLM)

Memories are ranked by a sophisticated composite score blending traditional retrieval with AI-powered uncertainty signals, faithfully adapted from the SRLM paper ("Recursive Language Models Meet Uncertainty").

Phase 1: Composite Scoring (TF-IDF + Heuristics)

Initial candidates are selected based on a weighted blend:

Signal	Weight	What it measures
TF-IDF Similarity	55%	Semantic relevance to the current query
Recency Decay	20%	Exponential decay ($2^{-t/\lambda}$) based on last access
Confidence	15%	Stored certainty score (0–1)
Access Frequency	10%	Saturated frequency ($\frac{f}{f+10}$) to prevent staleness

Phase 2: AI Re-ranking (SRLM)

Top candidates undergo a three-stage self-reflective assessment:

• Self-Consistency: Run $K$ parallel assessments; only keep memories selected by a majority.
• Verbalized Confidence (VC): The model reports log-space confidence $\sum \log(\nu/100) \le 0$.
• Trace Length (Len): Measures decisiveness (shorter traces = higher priority).

The final joint score $s = VC \times Len$ ensures the most certain and concise memories are surfaced first.

Memory Scopes

Scope	Persistence	Use for
global (default)	Forever, all chats	User facts, preferences, standing instructions
project	Forever, project-filtered	Project-specific context, repo details, team info
session	Until LM Studio closes	Temporary context, scratch notes, current-task state

Global memories are injected into every conversation automatically. Project memories are persisted to SQLite but only surface when that project is referenced. Session memories live entirely in memory — they're never written to disk and vanish when the plugin reloads. This lets you store throwaway context without polluting your permanent knowledge base.

Memory Categories

Category	Use for
fact	Things about the user: name, job, skills
preference	Likes, dislikes, coding style, UI choices
project	Current work, repos, goals
note	Free-form memos
instruction	Standing instructions ("always use TypeScript")
relationship	People, teams, organizations
context	Situational context ("interviewing at X")

Privacy

All data stays on your machine. The memory database is a single file at ~/.lmstudio/plugin-data/persistent-memory/memory.db. You can:

• Back it up: Just copy the file
• Move it: Change the storage path in settings
• Delete it: Remove the file to start fresh
• Inspect it: Open with any SQLite browser

Local Development

Requirements: Node.js v20+

This plugin uses sql.js (SQLite via WebAssembly) for maximum portability across different Node.js and Electron environments. No native compilation is required.

License

MIT