memora
FeaturedUse 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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