Streaming and tool calls
Render real-time messages while agents execute tools, so the UI can keep users informed during long-running actions.
Cedar
Freemium
Open-source framework for AI-native apps with streaming, tools, voice, state, and reviewable changes
What is Cedar?
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.
What can Cedar do?
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.
Frequently Asked Questions
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.
Quick Facts
- Category
- Developer Tool
- Product type
- Open-source framework
- Primary use
- Building AI-native applications
- Chat formats
- Floating, side panel, caption, embedded
- Source domain
- cedar.law
- Pricing
- Not publicly shown on the provided pricing page
Cedar Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 7
Cedar Alternatives
Unsloth
unsloth.ai
An open-source local UI and framework for training, running, and exporting open models on your hardware
OpenCode
opencode.ai
OpenCode is an open-source AI coding agent for terminal, IDE, and desktop, helping developers understand codebases, plan changes, and use multiple LLM providers.
LiveKit
livekit.io
LiveKit is an open source platform for building, deploying, and observing voice, video, and physical AI agents with Python or TypeScript, plus LiveKit Cloud for production.
VoltAgent
voltagent.dev
VoltAgent is an open-source TypeScript AI agent framework with VoltOps for observability, automation, deployment, and evals.
Ludwig
ludwig.ai
Open-source declarative deep learning framework for training, fine-tuning, and deploying models from one YAML config.
Sparkco
sparkco.ai
Sparkco: open-source AI agent infrastructure, terminal tooling, prediction-market workflows, and usage-based voice-agent plans with free credit, SMS, transcripts, and integrations.