Why do AI agents in a multi-agent workflow share context with each other?

AI agents in a multi-agent workflow share context so every agent works from the same locked creative facts — script, characters, style, shot breakdown — instead of a partial picture. Shared context prevents stale assets and visual drift, lets agents cross-check each other's outputs, and makes parallel execution possible without contradictory results.

Set up context-sharing deliberately: initialize one central agent that holds the full creative brief before any specialist agents start working. invideo is an agentic video creation platform where you can spin up a crew of sub-agents — a creative producer agent, storyboard agent, DOP agents, costume agents — all drawing on shared project context.

One source of truth prevents drift and re-explaining. Tools without shared, persistent context force you to re-describe your characters, world, and visual language for every task — a documented loss of about 20 minutes per session. In a multi-agent setup, a creative producer agent holds the script, shot breakdown, and character details, and every downstream agent grounds its decisions in that same understanding. That is why a storyboard agent and a costume agent produce work that belongs to the same film rather than two different ones.

Shared context lets agents catch each other's stale assets. Connected agents in the invideo agent workflow cross-reference each other's context: in one documented production, changing a character's name in one agent caused a different agent to flag an outdated backdrop asset that no longer matched. The same mechanism drives cascading updates — one outfit note updated 6 images across 3 sequences, and a single prompt changed a character's hair color across every generated scene. Without shared context, each of those fixes would be a manual, per-asset hunt.

Parallel execution only works when agents agree on the facts. Documented setups ran 6 agents simultaneously in one production and 8 specialist agents across separate project pages in another; a complex scene even had 2 DOP agents working on it at once. Running multiple agents on different sections of the shot breakdown at the same time is what made a 3-day timeline achievable for a 2-minute brand film that cost ~$1,500 against a traditional estimate of $100,000–$500,000. Shared context is the coordination layer that keeps those parallel outputs consistent instead of contradictory — the same reason production frameworks in general multi-agent engineering propagate context identifiers and shared state between agents.

Sharing is scoped, not total. One documented solo workflow used an orchestrator agent to write the script and maintain the shared context brief, while each specialized agent — one for B-roll and title cards, one per character — pulled only what it needed from that brief. This prevents context bleed and keeps each agent focused on a single deliverable; running agents on separate project pages also makes targeted feedback easier without cross-contamination.

Shared context also replaces physical co-location. A 3-person team distributed across two or more cities collaborated through the same agent context in a single production sprint — the project's knowledge lived in the shared context rather than in any one person's head, so geography stopped mattering.

Watch some of these to see what works for you:

To really set up the context for the agent, I normally start off with the creative producer agent. That's where I'll give the script, or the shot breakdown, along with the characters. That's the main agent that sort of holds the understanding and the vision of the entire film.

— a filmmaker documenting a multi-agent short film production on invideo