Knowledge Graph Memory Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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
| Name | Description |
|---|---|
| create_entitiesB | Create multiple new entities in the knowledge graph |
| create_relationsB | Create multiple new relations between entities in the knowledge graph. Relations should be in active voice |
| add_observationsB | Add new observations to existing entities in the knowledge graph |
| delete_entitiesA | Delete multiple entities and their associated relations from the knowledge graph |
| delete_observationsB | Delete specific observations from entities in the knowledge graph |
| delete_relationsA | Delete multiple relations from the knowledge graph |
| read_graphB | Read the entire knowledge graph |
| search_nodesC | Search for nodes in the knowledge graph based on a query |
| open_nodesC | Open specific nodes in the knowledge graph by their names |
| create_lessonC | Create a new lesson from an error and its solution |
| find_similar_errorsC | Find similar errors and their solutions in the knowledge graph |
| update_lesson_successC | Update the success rate of a lesson after applying its solution |
| get_lesson_recommendationsC | Get relevant lessons based on the current context |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 13 tools
Most tools have distinct purposes, but some overlap exists: 'open_nodes' and 'search_nodes' both involve accessing nodes, which could cause confusion. However, descriptions clarify that 'open_nodes' targets specific names while 'search_nodes' uses queries, reducing ambiguity. Other tools like 'add_observations' vs. 'create_entities' are clearly differentiated.
Tool names follow a consistent verb_noun pattern throughout, such as 'add_observations', 'create_entities', and 'delete_relations'. All tools use snake_case and clear verbs, making them predictable and easy to understand. There are no deviations in naming conventions.
With 13 tools, the count is well-scoped for a knowledge graph memory server, covering operations like CRUD for entities, relations, observations, and lessons. Each tool appears to serve a specific function without redundancy, fitting the domain's complexity appropriately.
The tool set provides comprehensive coverage for knowledge graph management, including creation, reading, updating, and deletion of entities, relations, observations, and lessons. A minor gap is the lack of an 'update_entities' or 'update_relations' tool for modifying existing content, but agents can work around this by deleting and recreating. Core workflows are well-supported.