What can an AI agent do with AWS DynamoDB?

Store and retrieve agent workflow state across executions Write processed events or results to DynamoDB as a fast lookup store Query records by partition key for targeted data retrieval Maintain counters and aggregates with atomic update expressions Cache external API results with TTL-based expiry

What agent actions are available for AWS DynamoDB in Fugentic?

Get Item, Put Item, Update Item, Delete Item, Query, Scan Table

How do I set up AWS DynamoDB in Fugentic?

You add AWS DynamoDB in the Fugentic planner — a no-code surface for describing what your business can do — and connect it to the rest of your stack. That becomes the capability your AI agent offers, so when a customer asks an assistant for what you do, AI can find you and act on AWS DynamoDB for them. Try it for free at fugentic.ai/solutions/agentic-planner.

AWS DynamoDB

by Amazon Web Services

Connect agents to AWS DynamoDB to read, write, query, and scan items in NoSQL tables.

DatabasesPaidAPI keynosqldatabaseawskey-valueserverlesscloud

How agents use AWS DynamoDB

✓Store and retrieve agent workflow state across executions
✓Write processed events or results to DynamoDB as a fast lookup store
✓Query records by partition key for targeted data retrieval
✓Maintain counters and aggregates with atomic update expressions
✓Cache external API results with TTL-based expiry

Agent actions

Get ItemRetrieve a single item from a DynamoDB table by its primary key

Inputs: tableName, key

Returns: item, found

Put ItemCreate or fully replace an item in a DynamoDB table

Inputs: tableName, item, conditionExpression

Returns: success

Update ItemUpdate specific attributes on an existing item

Inputs: tableName, key, updateExpression, expressionAttributeValues, expressionAttributeNames

Returns: item, success

Delete ItemDelete an item from a DynamoDB table by its primary key

Inputs: tableName, key

Returns: success

QueryQuery items by partition key with optional sort key conditions and filters

Inputs: tableName, keyConditionExpression, expressionAttributeValues, filterExpression, indexName, limit, scanIndexForward

Returns: items, count, lastEvaluatedKey

Scan TableScan an entire table or index with optional filter expression

Inputs: tableName, filterExpression, expressionAttributeValues, limit

Returns: items, count, scannedCount

Example workflows

Session management

Agent reads and writes user session state to DynamoDB for stateful workflows

Event log storage

Agent writes workflow events to a DynamoDB table for audit and replay

About AWS DynamoDB

Vendor: Amazon Web Services
Pricing Always review details with the vendor: Paid — On-demand: ~$1.25/million writes, $0.25/million reads. Provisioned: per RCU/WCU hour. 25 GB free tier storage.
Authentication: API key
Rate limit Always review details with the vendor: 3000 requests / minute
Compatible nodes: AgentResourceInputOutput
Website: https://aws.amazon.com/dynamodb

Put AWS DynamoDB behind your AI agent

Set up AWS DynamoDB alongside your other tools in the planner — no code — so AI can act on it for your customers.

Open the planner

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