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by agentic-box • Uncategorized
A lightweight MCP server providing persistent semantic memory storage, knowledge graphs, and conversational recall for AI agents.
Persistent, hierarchical semantic memory storage across sessions.
Advanced semantic search and AI-powered duplicate memory detection.
Interactive knowledge graph visualization and conversational recall.
Memora offers persistent storage of memories using SQLite or cloud databases with semantic search, advanced queries, and AI-powered deduplication. It features interactive knowledge graph visualization, chat with memories via RAG-powered LLMs, and tools for memory automation. The server supports local and cloud deployment with real-time updates and multi-agent communication.
Create a new memory entry. Args: content: The memory content text metadata: Optional metadata dictionary tags: Optional list of tags suggest_similar: If True, find similar memories and suggest consolidation (default: True) similarity_threshold: Minimum similarity score for suggestions (default: 0.2)
Create a new issue/bug memory. Args: content: Description of the issue status: Issue status - "open" (default) or "closed" closed_reason: If closed, the reason - "complete" or "not_planned" severity: Issue severity - "critical", "major", "minor" (default) component: Component/area affected (e.g., "graph", "storage", "api") category: Issue category (e.g., "bug", "enhancement", "performance") Returns: Created issue memory with auto-assigned tag "memora/issues"
Create a new TODO/task memory. Args: content: Description of the task status: Task status - "open" (default) or "closed" closed_reason: If closed, the reason - "complete" or "not_planned" priority: Task priority - "high", "medium" (default), "low" category: Task category (e.g., "cloud-backend", "graph-visualization", "docs") Returns: Created TODO memory with auto-assigned tag "memora/todos"
Create a new section/subsection header memory. Section memories are organizational placeholders that: - Are NOT visible in the graph visualization - Are NOT included in duplicate detection - Do NOT compute embeddings or cross-references Args: content: Title/description of the section section: Parent section name (e.g., "Architecture", "API") subsection: Subsection path (e.g., "endpoints/auth") Returns: Created section memory with auto-assigned tag "memora/sections"
List memories, optionally filtering by substring query or metadata. Args: query: Optional text search query metadata_filters: Optional metadata filters limit: Maximum number of results to return (default: unlimited) offset: Number of results to skip (default: 0) date_from: Optional date filter (ISO format or relative like "7d", "1m", "1y") date_to: Optional date filter (ISO format or relative like "7d", "1m", "1y") tags_any: Match memories with ANY of these tags (OR logic) tags_all: Match memories with ALL of these tags (AND logic) tags_none: Exclude memories with ANY of these tags (NOT logic) sort_by_importance: Sort results by importance score (default: False, sorts by date)
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