
MCP External Memory
Supports UIby daedalus
Give LLMs persistent, searchable semantic memory using embeddings (TF-IDF, OpenAI, or Ollama).
What it does
This MCP server provides LLMs with a long-term semantic memory system. It allows the AI to store facts, preferences, and context in a persistent SQLite database and retrieve them later using vector-based similarity searches, overcoming the limitations of short-term context windows.
Tools
memory_store: Persist text with optional namespaces, tags, and metadata.memory_search: Perform semantic search (cosine similarity) over all stored memories.memory_get: Retrieve a specific memory by its unique ID.memory_delete: Remove a memory from the store by ID.memory_list: List memories with optional namespace or tag filtering and pagination.memory_update: Modify the content of an existing memory.memory_stats: Get overall statistics, including memory count and DB path.
Installation
Add the following to your claude_desktop_config.json:
{
"mcpServers": {
"mcp-external-memory": {
"command": "python3",
"args": ["-m", "mcp_external_memory"]
}
}
}
Supported hosts
- Claude Desktop
Quick install
pip install mcp-external-memoryInformation
- Pricing
- free
- Published
- 5/21/2026
- stars






