Governed Memory for AI Agents
SuperLocalMemory 4.0 gives AI agents a governed local-first memory control plane. It combines durable memory transactions, scoped access, evidence-led retrieval, auditable operations, and CLI, MCP, dashboard, and framework-adapter surfaces. The V4 paper and implementation are public.
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
Research Paper
SuperLocalMemory 4.0: The Governed Memory Operating System for AI Agents
Varun Pratap Bhardwaj, 2026
Read on arXiv→