MCP Servers / productivity / ai-memory

ai-memory

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stdiononeofficial22productivity

Persistent memory for any AI assistant. Zero token cost until recall. Stores memories in local SQLite, ranks by 6-factor scoring, returns results 79% smaller than JSON. Works with Claude, ChatGPT, Grok, Cursor, Windsurf, and any MCP client.

Install
How to run this server
[ { "cmd": "pip install ai-memory-mcp", "imports": [] } ]
server path: ai-memory
Tools
What this server exposes
memory_store
Store a new memory (deduplicates by title+namespace, reports contradictions)
memory_recall
Recall memories relevant to a context (fuzzy OR search, ranked by 6 factors)
memory_search
Search memories by exact keyword match (AND semantics)
memory_list
List memories with optional filters (namespace, tier, tags, date range)
memory_get
Get a specific memory by ID with its links
memory_update
Update an existing memory by ID (partial update)
memory_delete
Delete a memory by ID
memory_promote
Promote a memory to long-term (permanent, clears expiry)
memory_forget
Bulk delete by pattern, namespace, or tier
memory_link
Create a typed link between two memories
memory_get_links
Get all links for a memory
memory_consolidate
Merge multiple memories into one long-term summary
memory_stats
Get memory store statistics
memory_capabilities
Report active feature tier, loaded models, and available capabilities
memory_expand_query
Use LLM to expand search query into related terms (smart+ tier)
memory_auto_tag
Use LLM to auto-generate tags for a memory (smart+ tier)
memory_detect_contradiction
Use LLM to check if two memories contradict (smart+ tier)
memory_archive_list
List archived memories (with optional namespace/tier/tag filters)
memory_archive_restore
Restore an archived memory back to the active store
memory_archive_purge
Permanently delete archived memories matching filters
memory_archive_stats
Get archive statistics (counts by tier, namespace, age)
Configuration
Environment & auth
authnone
envXAI_API_KEY
Resources
ai-memory — MCP Server · libregistry