A
securityA
licenseA
qualityA high-performance MCP server utilizing libSQL for persistent memory and vector search capabilities, enabling efficient entity management and semantic knowledge storage.
Last updated -
6
304
70
MIT License
Leverages Node.js for running the embedding model offline via @xenova/transformers, enabling semantic search capabilities without requiring an internet connection.
Provides a persistent memory storage backend using SQLite with FTS5 for fast keyword search and sqlite-vec for semantic vector search, supporting a structured graph of entities, observations, and relations.
Memento
Some memories are best persisted.
Provides persistent memory capabilities through a SQLite-based knowledge graph that stores entities, observations, and relationships with full-text and semantic search using BGE-M3 embeddings for intelligent context retrieval across conversations.
Features
Fast keyword search (FTS5)
Semantic vector search (sqlite-vec, 1024d)
Offline embedding model (
bge-m3)Enhanced Relevance Scoring with temporal, popularity, contextual, and importance factors
Structured graph of
entities,observations, andrelationsEasy integration with Claude Desktop (via MCP)
Prerequisites
System SQLite Version Check
Memento requires SQLite 3.38+ for FTS5 support. Most macOS and Linux distros ship sqlite3 out of the box, but double-check that it's there and new enough:
sqlite3 --version # should print a version string, e.g. 3.46.0
Important Note: This check is just to verify SQLite is installed on your system. Memento does NOT use the sqlite3 CLI for its operation it uses the Node.js sqlite3 module internally.
If you see "command not found" (or your version is older than 3.38), install SQLite:
Platform | Install command |
macOS (Homebrew) |
|
Debian / Ubuntu |
|
Usage
MEMORY_DB_PATH="/Your/Path/To/memory.db" memento
## Starting @iachilles/memento v0.3.3...
## @iachilles/memento v0.3.3 is ready!
Claude Desktop:
{
"mcpServers": {
"memory": {
"description": "Custom memory backed by SQLite + vec + FTS5",
"command": "npx",
"args": [
"@iachilles/memento@latest"
],
"env": {
"MEMORY_DB_PATH": "/Path/To/Your/memory.db"
},
"options": {
"autoStart": true,
"restartOnCrash": true
}
}
}
}
Troubleshooting
sqlite-vec Extension Issues
Important: Memento loads the sqlite-vec extension programmatically through Node.js, NOT through the sqlite3 CLI.
Common misconceptions:
❌ Creating shell aliases for sqlite3 CLI won't affect Memento
❌ Loading extensions in sqlite3 CLI won't help Memento
✅ Use the npm-installed sqlite-vec or set
SQLITE_VEC_PATHenvironment variable if automatic detection fails. This should point to the Node.js-compatible version of the extension, typically found in yournode_modulesdirectory.
If automatic vec loading fails:
# Find the Node.js-compatible vec extension
find node_modules -name "vec0.dylib" # macOS
find node_modules -name "vec0.so" # Linux
# Use it via environment variable
SQLITE_VEC_PATH="/full/path/to/node_modules/sqlite-vec-darwin-x64/vec0.dylib" memento
API Overview
This server exposes the following MCP tools:
create_entitiescreate_relationsadd_observationsdelete_entitiesdelete_relationsdelete_observationsread_graphsearch_nodes(mode:keyword,semantic)open_nodesset_importance- Set importance level (critical/important/normal/temporary/deprecated)add_tags- Add categorization tags
An example of an instruction set that an LLM should know for effective memory handling (see MEMORY_PROTOCOL.md)
Embedding Model
This project uses @xenova/transformers, with a quantized version of bge-m3, running fully offline in Node.js.
License
MIT
local-only server
The server can only run on the client's local machine because it depends on local resources.
Tools
A local, fully-offline MCP memory server that enables persistent storage and retrieval of information using SQLite with both keyword and semantic vector search capabilities.
Related MCP Servers
- AsecurityAlicenseAqualityA high-performance, persistent memory system for the Model Context Protocol (MCP) providing vector search capabilities and efficient knowledge storage using libSQL as the backing store.Last updated -630417MIT License
- -securityFlicense-qualityA custom MCP server that allows storage, retrieval, and management of text-based information with natural language commands and keyword detection.
- -securityAlicense-qualityA lightweight MCP server that provides read-only access to SQLite databases, allowing users to execute SELECT queries, list tables, and describe table schemas.Last updated -MIT License