Loading content…
← All Products
SuperLocalMemoryLIVE
Governed Memory for AI Agents
Store and recall project context through MCP or CLI. Keep the core memory data on infrastructure you control, choose operating modes explicitly, and inspect provenance. The research pages describe versioned protocols and assumptions.
Find a workflow for your task
12 documented CLI workflows for storing context, recalling evidence, profiles, integrations and installation health. These are selected workflows rather than a claim of a complete command catalog.
Browse memory workflows →Try one observable result
Carry project decisions and release requirements across agent sessions, then inspect the recalled evidence.
npm install -g superlocalmemory
slm setup
slm doctorOn 1 October 2026, an isolated mode A CLI run stored and recalled one synthetic release-checklist fact. Calibration was uncalibrated and answer confidence was null. This is not a retrieval accuracy benchmark.
Research, scope and assumptions
SQLite
Canonical memory
4
Public arXiv Preprints
CLI + MCP
Agent Surfaces
A / B / C
Operating Modes
Features
Reliability Spine
Generation-fenced admission, policy registration, verifiable memory transactions, projection ownership, and hash-checkable completion manifests.
Evidence-Led Retrieval
Dense, lexical, temporal, associative, and spreading-activation candidate producers fuse through one governed retrieval path.
Scoped Memory
Personal, named-profile, shared, and global scopes with role-aware access, provenance, export, and verified erasure.
Explicit Operating Modes
Mode A local core, Mode B local model, and Mode C deliberate external provider usage with explicit network behavior.
CLI, MCP, Dashboard, and Adapters
Operate the same memory system from agent tools, terminal workflows, the dashboard, and framework adapters.
Learning and Cache Paths
Feedback-driven learning, reusable retrieval paths, and context compression help agents retain useful context locally.
Use Cases
Persistent memory for Claude Code sessions
Cross-session context for any AI agent
Local-first agent-memory workflows
Research experiment tracking and recall
Research Paper
SuperLocalMemory 4.0: The Governed Memory Operating System for AI Agents
Varun Pratap Bhardwaj, 2026
Read on arXiv →Licensed under AGPL-3.0