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
creator
The username of the agent creator
str
Yes
slug
The name of the agent
str
Yes
Outputs
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
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
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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