Correction, 2026-10-01: this page said an 8frame workflow can compare outputs and route the best result to an export step on its own. It can't: you run and judge the nodes yourself, and there is no export node. The agent route into 8frame is the MCP connector, described below. We also replaced an unsourced description of Krea's Node Agent with Krea's own wording, and now say plainly that the connector's upscale tools work on images only, that its results do not land on the canvas, and that it does not offer every canvas model.
An AI agent is an autonomous system that perceives its environment, makes decisions, and takes actions toward a goal, using a language model as its reasoning core and external tools to act on the world.
The distinction from a plain chatbot or a single model call is persistence and action. A chatbot answers. An agent plans a sequence of steps, calls tools (APIs, browsers, code runners, image generators), evaluates results, and loops until it reaches a goal or hits a stopping condition. The model is the brain; the tools are the hands.
How an AI agent works
At the center is a language model that reads a goal and a current state, then decides what to do next. That decision is usually a tool call: run a web search, write a file, call an image generation API, check a calendar. The tool returns a result, which feeds back into the model's next decision. This loop continues until the task is done or the agent hands off to a human.
Many agents also keep memory across steps. Short-term memory is the conversation context. Long-term memory can be a database, a file, or a vector store the agent reads and writes during its run. Without memory, every step starts from scratch. With it, the agent builds on prior work.
A few properties that make an agent different from a one-shot prompt:
- Goal-directed. Given an objective, it figures out the steps, not just the next sentence.
- Tool-using. It can interact with external systems, not just generate text.
- Self-correcting. If a tool call fails or returns a bad result, it can retry or take a different path.
When you use an AI agent
You reach for an agent when the task has too many steps or branches to wire up in a fixed script. A few situations where agents are the right fit:
Creative production workflows. You want to generate 10 product videos from a brief, but each one needs a different script, a different visual style, and a quality check before delivery. That's not a pipeline you'd want to hardcode. An agent can handle the variation, and you still review what it returns.
Research and brief generation. Pull references from the web, analyze competitor content, draft a campaign brief, and flag anything that needs a human decision. All in one run.
Scheduling and coordination. Book a review call, check availability across time zones, send a calendar invite, follow up if no response. Tedious chains that are well suited to delegation.
Examples in creative workflows
8frame through an AI agent. 8frame runs an MCP server at mcp.8frame.co, so an agent such as Claude can call 8frame's image, video and music generation tools, plus background removal, image upscaling and image editing, as steps in its own plan. You sign in to your 8frame account when you connect it, and generations are charged to that account's credits. Results come back as file links; they do not land on your canvas. On the canvas itself, models (Veo 3.1, Kling v3, Seedance, Seedream, Nano Banana and others) are nodes you chain into workflows and run yourself; judging the outputs and picking the keeper stays with you.
Krea Node Agent. Krea describes its Node Agent as a tool that "turns a sentence into a runnable creative workflow": "It reads your canvas, plans the pipeline, wires the nodes, and runs the job." The agent concept is the same; the interface exposes it as a visual graph rather than a chat thread.
Both examples share the same structure: a goal, tools (model APIs), and a loop of steps that a person or the agent checks along the way.
Related concepts
Agents get their tools through a standard interface: see what MCP (Model Context Protocol) is. For the 8frame side, how to add video generation to an AI agent walks through the connector.
An AI workflow is the fixed counterpart: you decide the chain of models up front and run it, where an agent decides its steps as it goes. 10 AI Workflows Every Brand Should Have lists workflow structures built on that pattern.
If you're evaluating which video models to run inside those workflows, Best AI Video Generator 2026 compares the current field.
FAQ
What is the difference between an AI agent and a chatbot? A chatbot answers. An agent plans steps, calls tools, checks the results and keeps going until the goal is met or it hands back to a person.
Can an AI agent use 8frame? Yes, through the MCP server at mcp.8frame.co. An agent such as Claude can call 8frame's image, video and music tools and gets the results back as file links. Generations are charged to the credits of the 8frame account you signed in with.
Does an agent get the same models as the 8frame canvas? Not all of them. The connector's Nano Banana tool runs the 6-credit Classic model (Nano Banana Pro is canvas-only), and its Kling tool runs Kling v3 Standard, which needs a start image. A Veo call that names no tier runs Veo 3.1 Standard at 448 credits for 8 seconds with sound, while the Veo tool on the canvas opens on Fast (168), so ask the agent to name the tier.
Does an 8frame workflow run on its own like an agent? No. On the canvas you chain model nodes and run them; choosing the best output is your call.
Sources
- Krea Node Agent ("turns a sentence into a runnable creative workflow"; "It reads your canvas, plans the pipeline, wires the nodes, and runs the job"): krea.ai/blog/ai-workflow-agent, checked 2026-10-01
- 8frame MCP setup and sign-in: 8frame.co/mcp, checked 2026-10-01
- 8frame MCP connector tools, models, defaults, prices and file-link results: 8frame MCP server code and content fact sheet, read 2026-10-01
- Canvas Veo default (Veo 3.1 Fast, 168 credits): the 8frame tool registry, 2026-09-30
- 8frame canvas features (no export node): 8frame content fact sheet, 2026-10-01
Workflow templates to start from are in the workflow library.
Try it without signing up: the 8frame canvas opens on a real board. The canvas is free and unlimited; generation is paid from $19/month.