axom_mcp_memory
Store, retrieve, search, and manage persistent memories in the Axom database for AI agents, supporting long-term context and complex tool chaining.
Instructions
Store, retrieve, search, and manage persistent memories in the Axom database.
Memory Types:
long_term: Reusable patterns, architectural decisions, gotchas
short_term: Task-specific context, debug notes, current task state
reflex: Learned heuristics ("Always check X before Y" patterns)
dreams: Experimental ideas, creative explorations
Naming Convention: [type][descriptor][YYYYMMDD] Example: bugfix_auth_timeout_20260203
Content Format (recommended): TASK|APPROACH|OUTCOME|GOTCHAS|RELATED
Actions:
write: Store a new memory
read: Retrieve a specific memory by name
list: List memories with optional filters
search: Full-text search across memories
delete: Remove a memory by name
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| action | Yes | Memory operation to perform | |
| name | No | Memory identifier (required for read/write/delete) | |
| content | No | Memory content (required for write) | |
| memory_type | No | Type of memory storage | |
| importance | No | Importance level | |
| tags | No | Tags for categorization | |
| query | No | Search query (required for search) | |
| limit | No | Maximum results to return | |
| expires_in_days | No | Override default expiration in days (default per type: short_term=30d, long_term=365d, reflex=90d, dreams=180d) |