System Store Operations

Blocks for browsing and retrieving agent details from the AutoGPT store.

Get Store Agent Details

What it is

Get detailed information about an agent from the store

How it works

This block retrieves detailed metadata about a specific agent from the AutoGPT store using the creator's username and agent slug. It returns the agent's name, description, categories, run count, and average rating.

The store_listing_version_id can be used with other blocks to add the agent to your library or execute it.

Inputs

Input
Description
Type
Required

creator

The username of the agent creator

str

Yes

slug

The name of the agent

str

Yes

Outputs

Output
Description
Type

error

Error message if the operation failed

str

found

Whether the agent was found in the store

bool

store_listing_version_id

The store listing version ID

str

agent_name

Name of the agent

str

description

Description of the agent

str

creator

Creator of the agent

str

categories

Categories the agent belongs to

List[str]

runs

Number of times the agent has been run

int

rating

Average rating of the agent

float

Possible use case

Agent Discovery: Fetch details about a specific agent before adding it to your library.

Agent Validation: Check an agent's ratings and run count to assess quality and popularity.

Dynamic Agent Selection: Get agent metadata to decide which version or variant to use.


Search Store Agents

What it is

Search for agents in the store

How it works

This block searches the AutoGPT agent store using a query string. Filter results by category and sort by rating, runs, or name. Limit controls the maximum number of results returned.

Results include basic agent information and are output both as a list and individually for workflow iteration.

Inputs

Input
Description
Type
Required

query

Search query to find agents

str

No

category

Filter by category

str

No

sort_by

How to sort the results

"rating" | "runs" | "name" | "updated_at"

No

limit

Maximum number of results to return

int

No

Outputs

Output
Description
Type

error

Error message if the operation failed

str

agents

List of agents matching the search criteria

List[StoreAgent]

agent

Basic information of the agent

StoreAgent

total_count

Total number of agents found

int

Possible use case

Agent Recommendation: Search for agents that match user needs and recommend the best options.

Marketplace Browse: Allow users to explore available agents by category or keyword.

Agent Orchestration: Find and compose multiple specialized agents for complex workflows.


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