Caffeine V3 improves multi‑agent memory
Caffeine published a blog about V3 updates that focus on multi‑agent improvements to prevent context loss after prolonged edits in app and website building. (x.com) The changes are aimed at making agentic workflows more stable for long‑running creative projects. (x.com)
Caffeine says its V3 update changes how its app-building system remembers long projects, using multiple specialist agents so drafts do not lose context after repeated edits. (help.caffeine.ai) The company posted the update on April 7, 2026, saying Caffeine now assigns Discovery, Product, Design, Frontend, Backend, and Quality agents to a build, with an orchestrator called the Composer coordinating them. (help.caffeine.ai) Caffeine said work now runs in “waves,” with independent tasks handled in parallel and passed forward, and that every build starts with a fresh scan of the project so the system “never loses track” of the app across many drafts. (help.caffeine.ai) In plain terms, the problem is memory: large language model systems can miss earlier decisions when a project gets long, so builders see features drift, repeated mistakes, or broken handoffs between design and code. (cloud.google.com) Caffeine’s answer is to split the job into roles and keep checking the project state, rather than asking one model to hold the whole app in a single running conversation. Its help docs say the builder can also search the web for libraries, application programming interfaces, and code patterns while it works. (help.caffeine.ai) The same April 7 release added real-time build progress, automatic retries for failed tasks, and a version history panel that lets users revert to earlier draft versions with timestamps. (help.caffeine.ai) Caffeine also said a dedicated Design agent now creates a design brief covering colors, typography, spacing, and layout before frontend code is written, so later agents follow one visual plan. (help.caffeine.ai) The product has been in public early access since July 15, 2025, when DFINITY said Caffeine was built to let people create and deploy apps by describing them in natural language rather than coding line by line. (businesswire.com) Caffeine is tied closely to the Internet Computer ecosystem, which promotes it as a way to build apps and websites with artificial intelligence, with backend software written in Motoko and run on the Internet Computer network. (internetcomputer.org) The V3 changes push that pitch toward longer-running projects: not just generating a first draft from a prompt, but preserving decisions across redesigns, bug fixes, and repeated rebuilds. (help.caffeine.ai)
