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Store and query namespaced key-value memory for persistent agent context.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "memory-server" yet — see the docs or source repo.
Save preferences for user ID u123 to namespace=users: language=zh-CN, theme=dark, timezone=Asia/Shanghai, and return the write result.
Returns the namespace, stored key-value data, and save status for reuse in future sessions.
Retrieve the memory for session_202503 from namespace=sessions and summarize the current task context and pending items.
Returns the stored memory and extracts task context, key facts, and unfinished items.
Store the API endpoint, owner, and release date under namespace=project_alpha; then query that namespace and generate a project knowledge summary.
First persists the project information, then outputs a structured knowledge summary for that namespace.
Persist conversational memory with SQLite and retrieve context using metadata.
Persist and retrieve searchable cross-session memories for AI agents.
Enable AI assistants to store, search, and manage persistent semantic memories.
Manage persistent agent memories across global or repository-specific scopes.
Persistent knowledge-graph memory for MCP with semantic search and version tracking.
Give AI agents persistent memory and semantic retrieval across conversations.