Typed chat component
Chat supports DMs, group chats, and threads from a single data model and API, with typed props and built-in WebSocket transport.
Weavy provides embeddable collaboration components for chat, feeds, files, and AI copilots.
Weavy is a collaboration infrastructure product that provides pre-built components for chat, feeds, files, and AI copilots. The site describes it as a set of production-grade, fully themeable building blocks that can be dropped into serious apps instead of assembled from separate collaboration services.
The product is aimed at teams that want to add collaboration features without building the real-time plumbing themselves. Weavy says the components work across React, Vue, Angular, Svelte, vanilla JavaScript, and also connect to AI builder or low-code platforms through a REST API, with managed cloud and self-hosted deployment options available.
Chat supports DMs, group chats, and threads from a single data model and API, with typed props and built-in WebSocket transport.
Feeds provide posts, replies, reactions, mentions, and unread state for timelines, announcements, and knowledge-style activity streams.
Copilot accepts session state, route context, and arbitrary props so the assistant can respond inside your app with your own model.
Files are wired into chat and feed workflows, with uploads, versioning, 100+ previews, and Office in-place editing mentioned on the product pages.
Real-time delivery includes reconnects, presence, delivery receipts, notifications, and unread counts across devices.
The components are available as web components with typed APIs and are described as styleable with your own tokens and auth.
Add direct messages, group chats, threaded replies, presence, and delivery receipts to a product without assembling the WebSocket and identity layers separately.
Publish announcements, activity streams, or knowledge-base timelines where users can react, comment, mention others, and keep track of unread updates.
Embed an assistant inside an app route that can use session state, route context, and app-specific prompts while calling the team’s chosen LLM.
Support document workflows that rely on uploads, previews, versioning, and Office editing, especially when files need to stay tied to chat or feed activity.
Weavy is a set of pre-built collaboration components that drop into your app as web components. Its pricing page says it works with React, Vue, Angular, Svelte, vanilla JavaScript, and AI builder or low-code platforms, with the backend connecting through a REST API.
No. Weavy uses your existing authentication. Users sign in with the identity system you already have, and Weavy provisions identities behind the scenes.
The pricing page says the Pro plan includes Agentic AI Copilot, Chat, Feeds, Files, unlimited users, and premium support. It also says self-hosted deployments are available for on-premise or private cloud use.
Yes. The pricing page says you can run Weavy in your own AWS, Azure, GCP, or on-premise environment, and that Weavy ships the binary and updates while you manage the infrastructure.
The pricing page says data can be stored in East US, West Europe, or Central India for managed service deployments.
Traffic data is for reference only.
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