Memory Plugin (SQLite)
This Memory Plugin is a Python-based SQLite implementation for persistent storage in AI conversations. It provides tools for storing, retrieving, and searching memories, allowing AI assistants to maintain context across sessions. The plugin uses a simple database structure to categorize and timestamp memories, with features like access counting and category-based filtering. It's designed to integrate seamlessly with the Model Context Protocol (MCP) ecosystem, making it ideal for enhancing AI assistants with long-term memory capabilities in applications ranging from personal assistants to complex knowledge management systems.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · 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/mekanixms/mcp_memory_plugin
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Memory Plugin (SQLite) 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.