AI Agent Builders

Activepieces vs Dust

Compare Activepieces and Dust side-by-side. See feature differences and pricing in the AI Agent Builders category.

by Activepieces

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Pricing: Free plan with 1,000 credits a month; Plus $20/mo and Team $200/mo billed monthly, less billed yearly; Ultimate by quote; Embed from $36k a year.

Activepieces is an open-source AI agent and workflow automation builder for business and technical teams, run in its cloud or self-hosted on your own servers.

13 /18 features Full profile

Dust

by Dust

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Pricing: Free seat with 500 lifetime credits; Pro $30 and Max $150 per seat a month billed monthly ($24 and $120 billed yearly); Enterprise by quote.

Dust is an AI agent platform where teams build and share agents that work over company data in Slack, Notion and Drive, sold per seat with monthly credits.

11 /18 features Full profile

Feature Comparison

AI Agent Builders features side-by-side

Feature	Activepieces 13/18 features	Dust 11/18 features
Visual agent workflow canvas Assemble the agent's steps on a canvas.	Yes	No
Custom tool and function definitions Give the agent your own callable functions.	Yes	Yes
Model provider choice per agent Point different agents at different models.	Yes	Yes
Retrieval-augmented knowledge bases Attach documents the agent retrieves from at run time.	Yes	Yes
Multi-agent handoff and delegation One agent passes work to another.	Yes	Yes
Conversation state and checkpointing Resume a long run instead of restarting it.	Yes	No
Structured output schema validation Force replies into a schema and reject the rest.	Yes	Yes
Input and output guardrails Filter unsafe or off-policy content on both sides.	No	No
Human-in-the-loop approval steps Pause a workflow for a person to approve.	Yes	Yes
Built-in execution tracing See every step, tool call and token inside the builder.	Yes	No
Prompt versioning in the builder Change a prompt without redeploying, and roll it back.	No	Yes
Agent evaluation and test suites Score an agent against fixed cases before release.	No	No
MCP server support Connect tools over the Model Context Protocol.	Yes	Yes
Webhook and event triggers Start an agent from an external event.	Yes	Yes
Code-first SDK Define the agent in code as well as in the interface.	No	Yes
Deploy an agent as an API endpoint Call the finished agent over HTTP.	Yes	Yes
Embeddable agent chat widget Drop the agent into a site or app as a chat surface.	No	No
Self-hosted agent runtime Run the built agents on your own infrastructure.	Yes	No
Overall Rating	No reviews yet	No reviews yet