Extended Memory MCP

Extended Memory MCP – Persistent Context for Claude Desktop

Extended Memory MCP addresses a core limitation of conversational AI: the loss of context once a session ends or token limits are reached. When working with Claude on its Desktop app, each new chat starts from a blank slate, forcing users to repeat project details, architectural decisions, and personal preferences. This server eliminates that friction by acting as a persistent memory store that the Desktop app can query through the Model Context Protocol. It captures everything Claude needs to remember—project metadata, design rationales, communication style—and restores it automatically whenever a new conversation begins.

The server stores data locally (SQLite by default) or optionally in Redis, allowing developers to keep all contextual information on their own machine. By isolating memory per project, it prevents cross‑talk between unrelated tasks and keeps the assistant’s responses tailored to each specific workflow. For teams using Claude for software design, product planning, or knowledge management, this means a single conversation can span days or weeks without losing track of earlier decisions. It also supports multi‑project environments: each project has its own namespace, so switching contexts is as simple as starting a new chat.

Key capabilities include:

• Automatic context snapshotting: Whenever the user signals that a new project is being worked on, the server records the relevant details and stores them under a unique key.
• Context retrieval: On conversation start, the server injects the stored context into Claude’s prompt so that the assistant “remembers” prior discussions.
• Project isolation: Separate namespaces ensure that data from one project does not leak into another, preserving privacy and reducing confusion.
• Local storage with optional Redis: Developers can choose between lightweight SQLite for single‑user setups or a Redis backend for higher concurrency and shared environments.

Typical use cases include:

• Long‑running software architecture sessions where design decisions evolve over multiple interactions.
• Product requirement gathering, allowing the assistant to recall stakeholder preferences and previous feature discussions.
• Collaborative brainstorming across teams, where each member’s context is preserved and shared when needed.

Integration into an AI workflow is straightforward: the server runs as a background MCP service, and the Desktop app automatically discovers it via its configuration. Once connected, all conversations are enriched with the stored context without any manual copy‑paste or additional prompts. This seamless experience lets developers focus on creative problem solving rather than repetitive context re‑entry.

Unique advantages of Extended Memory MCP are its simplicity and privacy focus. It is a “dumb” storage client—no external APIs, no cloud dependencies—ensuring that all data remains on the user’s device. The optional Redis support gives advanced users flexibility for scaling, while the default SQLite setup keeps the barrier to entry low. For developers who need reliable, project‑specific memory in Claude Desktop, Extended Memory MCP provides a robust, privacy‑preserving solution that keeps conversations coherent across time.