Agent Memory

Knowledge graph memory for AI agents. Create entities, observations, and relations to build persistent understanding across executions. Persistence scope is configured on the workspace integration.

No AuthAI Developer Tools

9 actions

Actions

Name	Description
`create_entities` Create one or more entities in the knowledge graph.	Create one or more entities in the knowledge graph.
`add_observations` Add observations to existing entities in the knowledge graph.	Add observations to existing entities in the knowledge graph.
`create_relations` Create relations between entities in the knowledge graph.	Create relations between entities in the knowledge graph.
`search` Search entities by query string across names, types, and observations.	Search entities by query string across names, types, and observations.
`read_graph` Read the entire knowledge graph including all entities and relations.	Read the entire knowledge graph including all entities and relations.
`get_entity` Get a specific entity by name from the knowledge graph.	Get a specific entity by name from the knowledge graph.
`delete_entities` Delete entities by name from the knowledge graph. Also removes related relations.	Delete entities by name from the knowledge graph. Also removes related relations.
`delete_observations` Remove specific observations from an entity.	Remove specific observations from an entity.
`delete_relations` Delete specific relations from the knowledge graph.	Delete specific relations from the knowledge graph.

Quick Start

TypeScript

import { WeavzClient } from '@weavz/sdk'

const weavz = new WeavzClient({ apiKey: 'wvz_...' })

const result = await weavz.actions.execute({
  integrationName: 'agent-memory',
  actionName: 'create_entities',
  input: { /* ... */ },
  connectionId: 'conn_id',
  workspaceId: 'ws_id',
})

API Reference TypeScript SDK Python SDK All Features Pricing

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Frequently Asked Questions

How do I connect Agent Memory to my app?

Agent Memory does not require an external account connection. Install the SDK, add the integration to a workspace, then execute actions programmatically.

What actions does Agent Memory support?

Agent Memory supports 9 actions including Create Entities, Add Observations, Create Relations, Search, Read Graph, and more.

Can I use Agent Memory with AI agents?

Yes. Add Agent Memory to an MCP server in TOOLS mode or CODE mode. CODE mode provides 3 meta-tools with on-demand API discovery for efficient agent access.

What authentication does Agent Memory use?

Agent Memory does not require external authentication.

How much does the Agent Memory integration cost?

The Agent Memory integration is included on all Weavz plans including the free tier with 20,000 actions per month. No credit card required.

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Get 1,000 free actions every month. No credit card required.

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