Llm Memory V9v9.0.1

Developers running local LLM agents need persistent context across sessions without leaking personal data to cloud services. This skill links a private workspace containing MEMORY.md and AGENTS.md so the agent remembers user preferences, past conversations, and custom rules locally.

Teams deploy hybrid vector search over confidential documents using HNSW and RRF fusion, keeping embeddings and quantization local via AVX512/CUDA acceleration. The public framework handles retrieval logic while company-specific corpora and access rules stay in an isolated private workspace.

Research labs working on sensitive topics require LLM memory that never touches the network. The skill's no-network, no-remote-pull design lets scientists mount a private workspace of notes and tool configs onto an air-gapped machine for retrieval-augmented reasoning.

Agent builders compose multiple specialized assistants that share a common private memory layer, with each agent reading custom role-specific AGENTS.md and TOOLS.md from the linked workspace. Symlink-based bootstrap keeps per-project isolation while reusing the public retrieval framework.

Support automation vendors need auditable, region-locked memory that meets data residency rules. By pointing CNB_PRIVATE_WORKSPACE at a jurisdiction-specific directory, the bot's memory and custom policies stay fully user-controlled with no external transmission.

Distribute the public framework freely under MIT-0 to drive adoption, then monetize enterprises needing advanced quantization, multi-tenant workspaces, and support SLAs. The plugin architecture lets customers build proprietary extensions inside their private workspace.

Offer a hosted control plane that provisions and syncs each customer's CNB_PRIVATE_WORKSPACE with encryption and versioning, while the memory engine still runs locally for privacy. Customers pay per seat or per GB of managed private memory.

Package the framework with pre-built domain ontologies, embedding models, and compliance templates for legal, medical, or finance clients. Each vertical ships with curated private-config templates that consultants deploy on-premises.