OpenUI

OpenUI

Thesys
+
+

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About

AI agents fail silently in production. Wrong answers, broken loops, cost spikes, behavior drift after a prompt change, and no stack trace to explain why. Netra is the single platform to trace, evaluate, simulate and security test your agents. Built for text, voice, image and video agents. SOC2 Type II certified. GDPR and HIPAA compliant. US and EU data residency. Integrates with: LangChain, LangGraph, CrewAI, LlamaIndex, OpenAI, Anthropic, Gemini, AWS Bedrock, and 30+ more.

About

OpenUI is an open-source (MIT) generative UI framework for AI agents. Instead of plain text, your agent writes OpenUI Lang, a compact, streaming-first language, and OpenUI renders it progressively as real UI: charts, tables, forms, cards and layouts. Rendering is safe by default: the model can only use components you register and no generated code is executed, so your design system stays in control. A framework-agnostic core powers first-party runtimes for React, Vue, Svelte and Angular, with ready-made chat interfaces and integrations for LangChain/LangGraph, the Vercel AI SDK, Mastra, Google ADK, assistant-ui, CopilotKit, AG-UI and A2UI. In its published benchmark, OpenUI Lang uses about half the tokens of equivalent JSON UI formats, so interfaces stream faster and cost less.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Supported

Audience

Teams building AI agents and Agentic AI products

Audience

Developers building AI agents, copilots and chat apps who want agents to answer with interactive UI instead of text

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

No images available

Screenshots and Videos

No images available

Pricing

$39/month
Free Version Not Supported
Free Trial Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 4.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Pros & Cons from Real Users

Pros

  • ==Simulation mode lets you stress-test agents before production. You can spin up multi-turn conversations with defined personas and goals, auto-evaluated against fact-checking criteria you set. Instead of manual testing or hoping users find the edge cases, you run realistic scenarios and see where agents fail. Saves weeks of "what if" testing. Evaluation framework is actually repeatable. Not just pass/fail. You're measuring model quality, reasoning accuracy, tool correctness, output reliability—with metrics that stick across runs. That means you can compare versions, track improvements, and catch regressions before they hit users. Alerting catches problems you'd otherwise miss. Cost spikes, performance drops, safety violations, weird agent behavior—real-time notifications instead of discovering issues in production. That's table stakes for shipping anything at scale. Works across the whole ecosystem. OpenTelemetry standards, integrations with OpenAI, Claude, Anthropic, vector databases, LangChain, LlamaIndex. Not locked into one vendor. Multi-tenancy for SaaS applications. Voice traces for voice pipelines too, if that's your stack. Netra handles both text and voice traces end-to-end. Text captures LLM calls, tool executions, vector searches. Voice pipelines trace the full chain: speech-to-text, reasoning, text-to-speech. One platform for observing how your agents think and communicate, no matter the modality. That's rare.

Cons

  • SDK integration is non-negotiable overhead. You can't just drop this in and observe magically. Netra requires explicit instrumentation across your codebase. Multi-language support helps, but you're still looking at integration work across services. That's friction most teams don't have budget for on day one. Less public mindshare than competitors. Datadog, New Relic, LangSmith get more air time. Netra doesn't have the same community gravity or case study library. Fewer public comparisons, less blog coverage, smaller forum. That means fewer answers when you hit problems and harder time recruiting help from people who already know the tool. The documentation is excellent and so is the customer support

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Netra
Founded: 2025
getnetra.ai/

Company Information

Thesys
Founded: 2024
United States
www.openui.com

Alternatives

Alternatives

Traccia

Traccia

Algen AI
LangGraph

LangGraph

LangChain
Flint AI

Flint AI

SandboxAQ

Categories

Categories

Integrations

LangChain Supported
A2UI Not Supported
AG-UI Not Supported
Agent Development Kit (ADK) Not Supported
CopilotKit Not Supported
CrewAI Supported
LangGraph Not Supported
LlamaIndex Supported
Mastra AI Not Supported
OpenTelemetry Supported
Vercel AI SDK Not Supported

Integrations

LangChain Supported
A2UI Supported
AG-UI Supported
Agent Development Kit (ADK) Supported
CopilotKit Supported
CrewAI Not Supported
LangGraph Supported
LlamaIndex Not Supported
Mastra AI Supported
OpenTelemetry Not Supported
Vercel AI SDK Supported
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