Pick a scenario on the left and watch the right side simulate how OpenFlow moves from input to reasoning, tool calls, and usable output.
OpenFlow apps are not isolated destinations. The Agent can choose apps inside one task context, call capabilities, and route results back to chat, documents, or workflows.

Document editor for reports, notes, and knowledge capture.
Open appUnderstand tasks, choose apps, organize outputs
Document editor for reports, notes, and knowledge capture.
Capabilities are not scattered apps. They are a toolbox the Agent can select and combine while completing work.
Deep Research, literature search, knowledge graph, RAG, and source exploration.
Image generation, image editing, reports, multimodal input, and visual rendering.
Workflow orchestration, MCP tools, code interpreter, and external services.
User profiles, long-term memory, experience accumulation, and reusable skills.
Conversation is the entry point. Capability calls are the process. Results become reusable workflows. OpenFlow keeps complex AI work clear, traceable, and repeatable.
Break the launch request into research, image creation, and publishing workflow.
Collect sources, summarize patterns, and keep citations attached.
Generate visual directions and prepare reusable prompt templates.
Save the repeatable steps as a workflow for the next campaign.
Models, MCP, RAG, workflows, and memory live in one platform when users need to go deeper.
Docs should help users understand how Agents, apps, tools, and workflows work together. This keeps a Docs entry ready for a full documentation page.
Read docsPricing will center on usage, model calls, collaboration, and private deployment. This keeps the product navigation ready for commercialization.
Contact usMulti-model routing lets different models and tools serve the same Agent workspace.
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