Cedar

Cedar is an open-source framework for AI-native apps with streaming, tool calls, voice interactions, state access, and reviewable AI changes.

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Overview

Cedar is presented as Cedar-OS, an open-source framework for building AI-native applications. The homepage describes it as the missing frontend layer for AI and emphasizes a full-stack implementation for teams that want to ship agent-driven experiences.

Its core purpose is to provide ready-made UI and workflow primitives for AI interactions, including streaming messages, tool execution, voice interaction, application state access, and change review. The framework is positioned for teams that want custom, ownable components rather than a closed chat widget.

Core features

Streaming and tool calls

Render real-time messages while agents execute tools, so the UI can keep users informed during long-running actions.

Voice integration

Support voice-powered agent interactions for workflows that are not limited to typed chat.

State access

Let agents read and write application state, which makes the framework suitable for stateful interactions instead of isolated prompts.

Diff and history

Track AI changes with diff and history views, including user approvals and history management.

Flexible chat surfaces

Offer multiple chat presentation options, including floating chat, side panel, caption, and embedded components.

Owned UI components

Provide a component library in a Shadcn-style model so teams can own and customize the code they ship.

Use cases

Agentic product UIs
Use Cedar when you need an AI interface that streams responses while also running tool calls in the background.
Stateful workflows
Use the framework for applications where the agent must read or update application state instead of working in a stateless chat flow.
In-product assistant experiences
Use the different chat component formats to place AI assistance in a floating widget, side panel, caption area, or embedded product surface.
Reviewable AI changes
Use the diff, history, and approval flow when users need to review and confirm AI-generated changes before they are applied.
Customizable front ends
Use the ownable component model if your team wants to customize shipped UI code instead of embedding a fixed third-party widget.

Pros and Cons

Pros

Covers several core AI interaction patterns in one framework: streaming, tools, voice, state, and change review.
Offers multiple chat layouts, which makes it easier to fit different product surfaces.
Ships as ownable components rather than a black-box interface, which supports deeper customization.
Positions the framework for full-stack agent interactions instead of only front-end chat display.

Cons

The available pricing page does not expose public plan details, so purchase terms are unclear from the source pages provided.
The site copy suggests broader documentation and production usage, but this source set does not include enough implementation detail to verify every workflow or integration.

FAQ

What is Cedar?

Cedar is presented as Cedar-OS, an open-source framework for building AI-native applications with streaming, tool calls, voice integration, state access, diff and history tracking, and configurable chat surfaces.

Do I own the Cedar components I use?

The homepage says Cedar components are downloaded Shadcn-style, so you own the code and can customize the UI and behavior in your own project.

How quickly can I get a chat interface running?

The source highlights a simple import path for a working chat experience, including streaming, tool calls, and agentic actions, but it does not show implementation steps or setup requirements beyond the marketing copy.

What does Cedar cost?

The pricing page available here is a sign-in screen, so this source set does not confirm public pricing, tiers, or limits.