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Connect local memory vaults to MCP for persistent AI context read and write.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "@agentage/mcp-memory" yet — see the docs or source repo.
Write the following project information to the local memory vault: the project is called Apollo, the stack is Next.js, PostgreSQL, and Redis, and the current priorities are improving login flow and payment stability. Then return a summary of the saved memory.
The tool writes the project context into memory and returns a reusable summary for future sessions.
Read my previously stored coding style preferences, naming conventions, and API documentation format requirements from the local memory vault, then organize them into a concise checklist.
The tool retrieves relevant past memories and outputs a structured preference checklist for the current task.
Write today’s product review decisions into memory: the new release is delayed by one week, permission management and analytics validation must be completed before launch, and the owners are Alex and Mia. Save them under decisions, action items, and owners.
The tool stores the meeting outcomes in the requested structure for later lookup and task continuity.
Share, search, and reuse local memory across multiple AI coding agents.
Manage persistent agent memories across global or repository-specific scopes.
Provide persistent local memory and semantic search for MCP AI clients.
Give Claude persistent memory and shared context using plain Markdown files.
Provide shared memory for Claude across apps with sessions, handoffs, and artifacts.
Help MCP clients remember preferences and retrieve key context across chats.