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Safely read, write, and search a local Markdown memory store via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "memory-mcp" yet — see the docs or source repo.
Write the following meeting conclusion to the local memory store under “Project A/Decision Logs/2025-02-14.md” and generate short tags: We decided to change login from SMS verification to email verification because it is cheaper and better for international users.
A clearly structured Markdown note is saved at the specified path, with confirmation and generated tags.
Search the local memory store for content related to “login method, international users, cost,” prioritizing notes that include rationale and dates, sorted by relevance.
A list of matching memory entries with summaries, paths, dates, and relevant snippets for quick reference.
Update the authentication method in “API Authentication Spec.md” to OAuth 2.1 and check whether the local memory store index remains consistent; report any broken links or index issues.
The document is updated, and an index consistency check result is returned along with any detected issues.
Stores approved corrections and preferences so agents avoid repeating mistakes.
Enable AI clients to remember user preferences across conversations with vector search.
Give AI agents persistent memory and semantic retrieval across conversations.
Manage persistent agent memories across global or repository-specific scopes.
Provide persistent local memory and semantic search for MCP AI clients.
Automatically stores technical knowledge and retrieves relevant context across future AI sessions.