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Glama
amotivv
by amotivv

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
SYSTEM_PROMPTNoCustom system prompt for formatting memories
DEFAULT_BUCKETNoThe default bucket to use when saving memoriesGeneral
MEMORY_BOX_TOKENYesYour authentication token for Memory Box
MEMORY_BOX_API_URLNoThe URL of your Memory Box instancehttps://memorybox.amotivv.ai

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

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
save_memoryC

Save a memory to Memory Box

search_memoriesB

Search for memories using semantic search

get_all_memoriesC

Retrieve all memories with pagination support

get_bucket_memoriesC

Get memories from a specific bucket

get_related_memoriesC

Find semantically similar memories to a specific memory

check_memory_statusC

Check the processing status of a memory

get_usage_statsB

Retrieve user usage statistics and plan information

get_bucketsB

Retrieve a list of all available buckets

create_bucketC

Create a new bucket for organizing memories

delete_bucketA

Delete a bucket (empty by default, use force to delete with content)

update_memoryC

Update an existing memory including text, bucket, and relationships

delete_memoryC

Delete a specific memory

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.5/5.0

Scored across 12 tools

Disambiguation5/5

Each tool has a clearly distinct purpose with no significant overlap. Tools target specific actions on distinct resources like memories, buckets, or system status, making it easy for an agent to select the right one. For example, get_all_memories vs. get_bucket_memories vs. search_memories are well-differentiated by scope and method.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using snake_case, such as create_bucket, delete_memory, and get_usage_stats. This uniformity makes the set predictable and easy to parse, with no deviations in style or convention across the 12 tools.

Tool Count5/5

With 12 tools, the server is well-scoped for a memory management system, covering core operations without bloat. Each tool earns its place by addressing key needs like CRUD for memories and buckets, organization, search, and system monitoring, fitting typical expectations for such a domain.

Completeness5/5

The tool surface provides complete CRUD and lifecycle coverage for memories and buckets, including create, read, update, delete, search, and organization features. No obvious gaps exist; agents can perform all essential workflows from saving and retrieving memories to managing buckets and checking status.

Maintenance

ActivityInactive
ResponsivenessNo issues