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Persistent AI Memory System
MCPOpen SourceMIT72.8
by savantskie • Uncategorized
An MCP server providing persistent, semantic memory storage and conversation tracking for AI assistants.
Example Use Cases
- 1
Persistent, searchable long-term memory storage.
- 2
Multi-platform conversation history tracking and semantic search.
- 3
Integration with AI tools and self-reflection on tool usage.
Description
The Persistent AI Memory System offers structured, searchable long-term memory storage using SQLite databases combined with semantic search via vector embeddings. It supports multi-platform conversation tracking, tool call logging, and self-reflection capabilities to enhance AI assistant performance. The system is easily integrable with any MCP-compatible AI assistant and supports local and cloud embedding providers, enabling flexible deployment and improved AI contextual awareness.
Quick Actions
Security
Scanned 1 month(s) agoRisk Level
MINIMAL
Read-only data retrieval, no side effects
Trust Score
D45/100
7/17 checks passed
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Quick Stats
Service TypeMCP
Pricing ModelFreemium
Capabilities0 Tools / 0 Prompts / 0 Resources
Ownersavantskie
CategoryUncategorized
DependenciesStandalone
Tags
ai-assistantembeddingsgithub-copilotlmstudiomcp-serverollamapersistent-memorysemantic-searchsqlite