Memory Vault
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| DB_HOST | Yes | Database host | |
| DB_NAME | Yes | Database name | |
| DB_PORT | Yes | Database port | |
| DB_USER | Yes | Database user | |
| DB_PASSWORD | Yes | Database password |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| recallA | Search your memories for information relevant to a query. Returns chunks ranked by relevance using hybrid search (vector + full-text + RRF). Uses query enrichment (keyword extraction + variation) for better recall. Results are budgeted to fit within max_tokens to avoid flooding context. Args: query: The search query — a question, topic, or keyword phrase. spaces: Filter to specific memory spaces (e.g. ["default", "projects"]). If omitted, searches all spaces. since: Only return memories after this date (ISO format, e.g. "2025-01-01"). limit: Maximum number of results (default 10, max 50). max_tokens: Token budget for results (default 2000). ef_search: How much of the vector index to search, 1-1000. Omit to use the default (40). Raise it when a search should have found something and did not — better recall, slower query. Worth trying before concluding a memory is missing. |
| rememberA | Store a new memory in the system. The text is embedded and stored as a searchable chunk. Use this to save important information, decisions, or knowledge. Args: text: The text content to remember. space: Which memory space to store it in (default "default"). source: Where this memory comes from (default "mcp"). speaker: Who said/wrote this — "human" or "assistant" (default "human"). |
| forgetA | Soft-delete a memory chunk by ID. The chunk is removed from search results but stays in the database for potential recovery. Sets importance to 0 and marks it in metadata. Args: chunk_id: The UUID of the chunk to forget. |
| purge_forgottenA | Permanently delete memories that were forgotten a while ago.
This is the deliberate, irreversible half. It is never automatic — there is no timer that quietly deletes your memories — and it only touches memories already marked forgotten, never active ones. Args: older_than_days: Only purge memories forgotten at least this many days ago. The default keeps a month of recovery, so purging right after an accidental forget still spares it. Pass 0 to purge every forgotten memory regardless of age. |
| move_memoryA | Move a stored memory into a different space. The memory keeps its content and embedding; only the space it belongs to changes. Its knowledge-graph entries are rebuilt in the target space so the graph and search agree about where it lives. The target space must already exist — use the dashboard or the API to create one first. Args: chunk_id: The UUID of the chunk to move. target_space: Name of the space to move it into. |
| memory_statusA | Get the current status of the memory system. Returns database health, chunk counts per space, and embedding model info. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| list_spaces | List all memory spaces with descriptions and chunk counts. |
| memory_stats | Current memory system statistics — chunks, queries, latency. |
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