1. Conduid
  2. AI
  3. Memory Libsql
MCP server · AI

Memory Libsql

🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.

72Good

Scored 7 hours ago · breakdown

About Memory Libsql

Memory Libsql is an MCP server published by spences10 in the AI category: 🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications. It has been installed 0 times through Conduid.

The repository has 81 stars and 18 forks, with the last commit 6 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx mcp-memory-libsql

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

Ask AI about Memory Libsql

Powered by Claude · Grounded in docs

I know everything about Memory Libsql. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v0.0.9silver-giggle · 15 Jan 2025What's Changed Add Smithery to README by @calclavia in https://github.com/spences10/mcp-memory-libsql/pull/4 Version Packages by @github-actions in https://github.com/spences10/mcp-memory-libsql/pull/3 New Contributors @calclavia made…
v0.0.8urban-guacamole · 15 Jan 2025Full Changelog**: https://github.com/spences10/mcp-memory-libsql/compare/v0.0.7...v0.0.8
v0.0.7automatic-waffle · 15 Jan 2025Full Changelog**: https://github.com/spences10/mcp-memory-libsql/compare/v0.0.5...v0.0.7
v0.0.5literate-octo-invention · 15 Jan 2025Full Changelog**: https://github.com/spences10/mcp-memory-libsql/compare/v0.0.3...v0.0.5
v0.0.3miniature-octo-telegram · 15 Jan 2025What's Changed chore: Configure Renovate - autoclosed by @renovate in https://github.com/spences10/mcp-memory-libsql/pull/1 New Contributors @renovate made their first contribution in https://github.com/spences10/mcp-memory-libsql/pull/1…

README

mcp-memory-libsql

A high-performance, persistent memory system for the Model Context Protocol (MCP) powered by libSQL with optimized text search for LLM context efficiency.

Features

  • 🚀 High-performance text search with relevance ranking
  • 💾 Persistent storage of entities and relations
  • 🔍 Flexible text search with fuzzy matching
  • 🎯 Context-optimized for LLM efficiency
  • 🔄 Knowledge graph management
  • 🌐 Compatible with local and remote libSQL databases
  • 🔒 Secure token-based authentication for remote databases

Configuration

This server is designed to be used as part of an MCP configuration. Here are examples for different environments:

Cline Configuration

Add this to your Cline MCP settings:

{
	"mcpServers": {
		"mcp-memory-libsql": {
			"command": "npx",
			"args": ["-y", "mcp-memory-libsql"],
			"env": {
				"LIBSQL_URL": "file:/path/to/your/database.db"
			}
		}
	}
}

Claude Desktop with WSL Configuration

For a detailed guide on setting up this server with Claude Desktop in WSL, see Getting MCP Server Working with Claude Desktop in WSL.

Add this to your Claude Desktop configuration for WSL environments:

{
	"mcpServers": {
		"mcp-memory-libsql": {
			"command": "wsl.exe",
			"args": [
				"bash",
				"-c",
				"source ~/.nvm/nvm.sh && LIBSQL_URL=file:/path/to/database.db /home/username/.nvm/versions/node/v20.12.1/bin/npx mcp-memory-libsql"
			]
		}
	}
}

Database Configuration

The server supports both local SQLite and remote libSQL databases through the LIBSQL_URL environment variable:

For local SQLite databases:

{
	"env": {
		"LIBSQL_URL": "file:/path/to/database.db"
	}
}

For remote libSQL databases (e.g., Turso):

{
	"env": {
		"LIBSQL_URL": "libsql://your-database.turso.io",
		"LIBSQL_AUTH_TOKEN": "your-auth-token"
	}
}

Note: When using WSL, ensure the database path uses the Linux filesystem format (e.g., /home/username/...) rather than Windows format.

By default, if no URL is provided, it will use file:/memory-tool.db in the current directory.

API

The server implements the standard MCP memory interface with optimized text search:

  • Entity Management
    • Create/Update entities with observations
    • Delete entities
    • Search entities by text with relevance ranking
    • Explore entity relationships
  • Relation Management
    • Create relations between entities
    • Delete relations
    • Query related entities

Architecture

The server uses a libSQL database with the following schema:

  • Entities table: Stores entity information with timestamps
  • Observations table: Stores entity observations
  • Relations table: Stores relationships between entities
  • Text search with relevance ranking (name > type > observation)

Development

Publishing

Due to npm 2FA requirements, publishing needs to be done manually:

  1. Create a changeset (documents your changes):
pnpm changeset
  1. Version the package (updates version and CHANGELOG):
pnpm changeset version
  1. Publish to npm (will prompt for 2FA code):
pnpm release

Contributing

Contributions are welcome! Please read our contributing guidelines before submitting pull requests.

License

MIT License - see the LICENSE file for details.

Acknowledgments

README mirrored from the source repository 7 hours ago. The original is authoritative.

Questions

About Memory Libsql

How do I install Memory Libsql?

Run npx mcp-memory-libsql, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Memory Libsql safe to use with an AI agent?

Its trust score is 72 out of 100 (good). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Memory Libsql still maintained?

The last commit was 6 months ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.