memora

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Use when working with persistent memory across sessions, storing/retrieving knowledge, managing TODOs/issues, or when context from previous sessions would be helpful.

AI & Automation 673 stars 71 forks Updated today MIT

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# Memora - Persistent Semantic Memory Memora is the persistent memory system for this environment. Use memora MCP tools to store, search, and organize knowledge across sessions. ## When to Use - **Session start**: Relevant memories are auto-injected via hook - **Storing decisions**: Use `memory_create` to save architectural decisions, patterns, preferences - **Finding context**: Use `memory_hybrid_search` to find relevant past work - **Tracking work**: Use `memory_create_todo` / `memory_create_issue` for task tracking - **Organizing knowledge**: Use `memory_hierarchy` to browse organized memories ## Core Tools ### Creating Memories - `memory_create` - Store a new memory (auto-deduplicates, suggests hierarchy) - `memory_create_todo` - Create a TODO with priority (high/medium/low) - `memory_create_issue` - Create an issue with severity (critical/major/minor) - `memory_create_section` - Create organizational headers - `memory_create_batch` - Bulk create multiple memories ### Searching - `memory_hybrid_search` - Best search: combines keyword + semantic (use this by default) - `memory_semantic_search` - Pure vector similarity search - `memory_list` - List/filter by tags, dates, metadata - `memory_list_compact` - Lightweight listing (id, preview, tags only) ### Organizing - `memory_hierarchy` - View memories in section/subsection tree - `memory_tags` - List allowed tags - `memory_tag_hierarchy` - View tag namespace tree - `memory_link` - Create typed relationships between...

Details

Author
agentic-box
Repository
agentic-box/memora
Created
11 months ago
Last Updated
today
Language
Python
License
MIT

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