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Memory

Persistent memory for your AI — across sessions

9 tools available

The Memory tools give your AI agent a persistent knowledge graph that survives between sessions. Your AI can store entities, create relationships, and add observations — building up a structured memory over time.

This is essential for AI agents that need to remember context: project details, user preferences, team members, decisions, and any structured information. The knowledge graph is stored securely in your private storage and is never shared.

Benefits

Why use Memory?

✓ AI remembers context across multiple sessions

✓ Structured knowledge graph with entities and relations

✓ Full CRUD operations — create, read, update, delete

✓ Search and query your AI's memory at any time

✓ Private per-user storage — your data stays yours

Use Cases

What can you do?

Project context

Store project architecture, team members, decisions, and progress so your AI remembers everything.

Personal assistant

Save preferences, contacts, schedules, and notes that your AI can recall in future conversations.

Research accumulation

Build up a knowledge base over time as your AI discovers and connects new information.

Multi-session workflows

Continue complex tasks across sessions without repeating context to your AI.

Your Endpoint

Connect with Memory

Use this URL to connect with only Memory + Environment Variables enabled.

MCP Endpoint

https://mcp.runtools.link/{YOUR_KEY}

🔍 Brave Search

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Tools

Memory Tools

memory_create_entities

1 arg

Create new entities in the knowledge graph. Each entity has a name, type, and observations. Entities are nodes that can be connected via relations.

Arguments

Name	Type	Description
entities	object[]	Array of entities to create	required

memory_create_relations

1 arg

Create relations between entities in the knowledge graph. Relations connect entities and have a type describing the relationship.

Arguments

Name	Type	Description
relations	object[]	Array of relations to create	required

memory_add_observations

1 arg

Add observations to existing entities in the knowledge graph. Observations are facts or notes about an entity. The entity must exist before adding observations.

Arguments

Name	Type	Description
observations	object[]	Array of observations to add to entities	required

memory_delete_entities

1 arg

Delete entities from the knowledge graph. This also deletes all relations connected to these entities (cascade delete).

Arguments

Name	Type	Description
entityNames	string[]	Array of entity names to delete	required

memory_delete_observations

1 arg

Delete specific observations from entities in the knowledge graph. The entity itself is not deleted, only the specified observations.

Arguments

Name	Type	Description
deletions	object[]	Array of observation deletions to perform	required

memory_delete_relations

1 arg

Delete specific relations from the knowledge graph. Only the specified relations are deleted; entities are not affected.

Arguments

Name	Type	Description
relations	object[]	Array of relations to delete	required

memory_read_graph

0 args

Read the entire knowledge graph for the authenticated user. Returns all entities and relations.

No arguments required

memory_search_nodes

1 arg

Search for nodes in the knowledge graph by query string. Searches entity names, types, and observation contents (case-insensitive). Returns matching entities and relations between them.

Arguments

Name	Type	Description
query	string	The search query string	required

memory_open_nodes

1 arg

Open specific nodes in the knowledge graph by their names. Returns the specified entities and relations between them.

Arguments

Name	Type	Description
names	string[]	Array of entity names to open	required

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