LibSQL Memory
This LibSQL-based persistent memory tool for MCP, developed by Scott Spence, provides a database interface for AI models to store and retrieve information. Built with TypeScript and leveraging the LibSQL client, it offers functionality for managing entities and relations in a knowledge graph structure. The implementation focuses on providing a robust, SQL-based storage solution that can be used locally or with remote databases. It's particularly useful for maintaining context across conversations, building knowledge bases, or creating persistent memory systems for AI assistants, enabling long-term information retention without requiring complex database management.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/spences10/mcp-memory-libsql
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve LibSQL Memory from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.