Genspark Super Agent
Genspark Super Agent is an autonomous AI agent that plans and executes research, analysis, browser tasks, coding, and content workflows using tools, connected data, and specialized agents.
About Genspark Super Agent
Genspark Super Agent is an autonomous AI assistant designed to think, plan, and act on multi step tasks. Instead of only answering a prompt, it breaks a request into steps, selects appropriate tools and agents, performs the work, and returns a finished result. Supported work includes research, analysis, content creation, design, coding, and communication.
For research workflows, Super Agent can plan an investigation, use live browsing and other tools, work with files and connected data, cite sources, and turn findings into finished outputs such as presentations and reports. Genspark also supports Deep Research as a specialized task that Super Agent can delegate and run in the background.
The current Super Agent operates in a dedicated sandbox environment with a real browser, filesystem, and execution capabilities. Long running tasks can continue after the user closes their laptop, and multiple tasks can run in parallel within a project. Tasks can also build on results produced by other tasks in the same project.
Users can save completed workflows as reusable Skills by instructing Super Agent to save the workflow. The agent can also work with connected accounts, files, AI Drive, Google Drive, and SecondBrain to provide additional context for its tasks.
Key Features
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Autonomous task execution: Breaks user requests into steps, selects appropriate tools and agents, and carries the workflow through to a finished result.
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Research and source handling: Can perform research and analysis using live browsing, connected data, files, and source citations.
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Deep Research delegation: Can delegate Deep Research to a specialized agent and run the research task independently in the background.
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Dedicated execution environment: Operates with a dedicated sandbox containing a real browser, filesystem, and execution capabilities.
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Parallel and long running tasks: Supports several tasks running at once within a project and can continue long tasks while the user is away.
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Reusable Skills: Users can teach Super Agent a workflow once, save it as a Skill, reuse it in future conversations, and share it with a team.
Pricing
Contact the sales team for pricing information.
Use Cases
- Conduct market or industry research and create a presentation from the findings
- Research topics using live web information and produce cited outputs
- Analyze uploaded datasets and generate charts, tables, and structured analysis
- Build reusable research and analysis workflows as Skills
Pros & Cons
Pros:
- Combines autonomous planning, tool selection, execution, and finished deliverable creation in one workflow
- Supports long running and parallel tasks within projects
- Can save successful workflows as reusable Skills for later execution
Cons:
- Free plan file uploads are limited to 500 MB per file, while paid plans support files up to 1 GB
- Complex multi step tasks, live browsing, code execution, retries, and additional tool calls can consume more credits
Integrations
Google Drive, AI Drive, Gmail, Outlook, SecondBrain, Realtime Voice, connected accounts, uploaded files
FAQ
Last edited
September 28, 2026 at 11:25 AM by Venkatraman Chandrasekaran
