Agenta vs Blueberry

Side-by-side comparison to help you choose the right AI tool.

Agenta is your go-to platform for building reliable LLM apps with seamless collaboration and smart experimentation.

Last updated: March 1, 2026

Blueberry is your AI-native Mac workspace that merges your editor, terminal, and browser so your AI sees everything.

Last updated: February 28, 2026

Visual Comparison

Agenta

Agenta screenshot

Blueberry

Blueberry screenshot

Feature Comparison

Agenta

Centralized Prompt Management

Say goodbye to the scattered mess of prompts across Slack and Google Sheets. Agenta centralizes everything in one platform, so you can easily track and manage your prompts without losing your mind.

Automated Evaluations

Forget about guesswork! With Agenta, you can set up a systematic process for running experiments and tracking results. This feature ensures that every change is validated, so you know what's working and what’s just a wild guess.

Full Observability

Debugging in AI can feel like a shot in the dark, but with Agenta, you get complete traceability for every request. This means you can pinpoint exact failure points and understand where things might have gone off the rails.

Collaborative Workspace

Agenta brings together product managers, developers, and domain experts into one cohesive workflow. This feature allows for real-time collaboration, where everyone can experiment, compare, and debug prompts without stepping on each other's toes.

Blueberry

The All-in-One Focused Workspace

This is the main event. Blueberry kills app-switching fatigue by giving you a legit code editor, a fully functional terminal, and a live preview browser all in one tidy, draggable window. It's not just them slapped together; they're designed to feel like they were always meant to be one tool. You get full syntax highlighting, multi-cursor editing, find/replace, and Git integration in the editor—no compromises. The terminal runs your models and commands, and the browser shows a real-time preview of your app. It's your entire dev loop, unified.

Blueberry MCP (Full Context for Your AI)

This is the secret sauce that makes the AI in Blueberry actually useful. The built-in MCP (Model Context Protocol) server is a game-changer. It lets your connected AI (Claude, Codex, etc.) see and interact with your entire workspace context live. We're talking the code you have open, the output in your terminal, what's currently rendering in the preview browser, and even your pinned apps. Your AI assistant finally has the full picture, so you can ask "how does this route work?" or "why is this button broken?" without manually feeding it a million snippets.

Pinned Apps for Constant Context

Why stop at just dev tools? Blueberry lets you dock your other essential apps—like GitHub, Linear, Figma, or PostHog—right inside your workspace. They load up with your project and, crucially, share their context with your AI via MCP. Need your AI to reference a specific Linear ticket or a Figma frame? It's already there, in the loop. It turns your workspace into the central hub for everything related to your product, not just the code.

Visual Context with Screenshot & Element Select

Sometimes you need to show, not tell. Blueberry's preview browser comes with built-in tools to give your AI visual context. You can capture screenshots of your app or, even cooler, directly select specific HTML elements from the preview. This means you can point at a busted component and ask your AI to fix it, and it knows exactly what you're talking about. It bridges the gap between the visual front-end and the code in a way that feels like magic.

Use Cases

Agenta

Streamlined Development Process

Agenta is perfect for teams looking to streamline their LLM development process. By centralizing prompts and evaluations, teams can iterate quickly and confidently, reducing the time it takes to bring applications to market.

Enhanced Collaboration

Whether you’re a developer, a PM, or a domain expert, Agenta enables you to collaborate seamlessly. This means fewer silos, more communication, and a unified approach to tackling AI challenges.

Data-Driven Decision Making

With Agenta’s automated evaluations, teams can make data-driven decisions rather than relying on gut feelings. This leads to improved performance and a more reliable AI application.

Efficient Debugging

When errors crop up, you can use Agenta to trace requests back to their source. This feature allows teams to annotate issues and quickly turn them into tests, making the debugging process faster and more efficient.

Blueberry

Rapid Prototyping & Iteration

You're building an MVP and need to move at light speed. With Blueberry, you can write a component in the editor, see it update live in the preview browser, debug an error in the terminal, and ask your AI to refactor the logic—all without leaving the window. The tight feedback loop and constant AI context turn hours of work into minutes, letting you experiment and iterate on ideas before your coffee gets cold.

AI-Powered Debugging & Pair Programming

Hit a gnarly bug or a confusing error message? Instead of scouring Stack Overflow alone, you can have your AI model, armed with the full context of your running app, terminal logs, and relevant code files, help you diagnose it in real-time. It's like having a senior engineer looking over your shoulder who never gets tired and has perfect memory of your entire codebase.

Streamlined Full-Stack Development

Working on a full-stack web app means constantly context-switching between server code, client code, and the database. Blueberry simplifies this by keeping your API route code, your frontend component, and the resulting web page preview visible simultaneously. You can run your backend server in one terminal tab, your frontend dev server in another, and see how they interact live, making API integrations and data flow way easier to reason about.

Cross-Device Preview & Responsive Design

Building a modern app means it has to look good on every screen. Blueberry's preview browser has desktop, tablet, and mobile viewports built right in. You can instantly see what your users will see on different devices without needing to grab your phone or open a separate emulator. It makes responsive design checks a seamless part of your regular coding flow.

Overview

About Agenta

Alright, let’s spill the tea on Agenta. This open-source LLMOps sidekick is here to rescue you from the wild, wild west of AI app development. You know how it goes: prompts getting lost in the abyss of Slack DMs, PMs throwing together half-baked ideas in Google Sheets, and developers just sending their code into the production void without a second thought. It's a chaotic scene! Enter Agenta, your new best friend in the world of AI. This platform unites developers, product managers, and domain experts in a collaborative fiesta, all while keeping the chaos at bay. Think of it as your mission control, where you can experiment with prompts, run automated evaluations, and gain full visibility into what's happening in production. No more guesswork or random AI hallucinations ruining your features. Agenta transforms the unpredictable nature of LLM development into a structured, evidence-driven process, ensuring everyone’s on the same page. It’s the ultimate way to ship reliable LLM applications faster and with confidence.

About Blueberry

Alright, let's break it down. Blueberry is that one app you didn't know you needed until you try it and then you can't imagine your workflow without it. It's basically a super-powered, AI-native workspace built specifically for macOS that smashes your code editor, terminal, and live preview browser into one single, focused window. No more frantic Alt-Tabbing between a dozen different apps, losing your train of thought, or wasting brain cycles on window management. It's built for the modern product builder—the devs, founders, and indie hackers who are shipping web apps and need to move fast without the tooling friction. The core vibe? Stop copy-pasting context for your AI. Blueberry connects to your favorite models (Claude, Gemini, Codex, you name it) via MCP and gives them a live feed of your entire project: your open files, your terminal output, and even what's rendering in the browser preview. It's like giving your AI pair programmer a super-high-resolution screen share of your mind. And the best part? It's 100% free during the beta. So if you're tired of the juggle, this is your invite to a smoother, more integrated way to build.

Frequently Asked Questions

Agenta FAQ

What is Agenta?

Agenta is an open-source LLMOps platform designed to streamline the development of AI applications. It provides tools for prompt management, automated evaluations, and full observability, making it easier for teams to collaborate and build reliable LLM apps.

Who can benefit from using Agenta?

Agenta is tailored for AI teams, including developers, product managers, and domain experts. Anyone involved in the LLM development process will find value in Agenta's collaborative features and structured workflows.

How does Agenta improve collaboration?

By centralizing prompts and evaluations, Agenta breaks down silos between team members. This allows for real-time collaboration, enabling everyone to contribute to the development process without confusion or miscommunication.

Can Agenta integrate with existing tools?

Absolutely! Agenta is designed to seamlessly integrate with your existing tech stack, including frameworks like LangChain and LlamaIndex. This makes it easy to incorporate Agenta into your current workflow without a hitch.

Blueberry FAQ

Is Blueberry really free?

Heck yes! Blueberry is 100% free during its beta period. The team is focused on building an amazing tool and getting it into the hands of builders. There's no credit card required to download and use it. Just grab it and start building.

What AI models does Blueberry work with?

Blueberry is super flexible. It can connect to any AI model that supports the Model Context Protocol (MCP). This includes popular ones like Anthropic's Claude, Google's Gemini, and OpenAI's Codex. You're not locked into one ecosystem; you can use the model that works best for you and your project.

Is Blueberry only for web development?

While it's optimized for building web applications (thanks to the integrated live preview browser), the core workflow of an editor, terminal, and AI with full context is useful for many types of software development. However, its sweet spot is definitely developers and product builders working on web-based projects.

Is it available for Windows or Linux?

Not yet, fam. Currently, Blueberry is a macOS-only application. It's built as a native Mac app to deliver the best possible performance and integration. The team might consider other platforms in the future, but for now, you'll need a Mac to join the party.

Alternatives

Agenta Alternatives

Agenta is your go-to open-source LLMOps sidekick designed to streamline the chaos of developing AI applications. It caters to teams who want to collaborate effectively without getting lost in a sea of scattered communication and tools. Users often seek alternatives to Agenta for various reasons, including pricing concerns, the need for specific features, or compatibility with their existing platforms. When on the hunt for a suitable replacement, look for solutions that offer seamless collaboration, a unified experimentation environment, and robust evaluation tools to ensure you're not just guessing your way through AI development.

Blueberry Alternatives

So you've heard the buzz about Blueberry, the slick Mac app that smashes your editor, terminal, and browser into one hyper-focused workspace. It's basically the ultimate power-up for devs and AI tinkerers, letting you connect models like Claude or Codex so they can see your entire workflow at a glance. No more frantic alt-tabbing or copy-pasting context—just pure, unadulterated flow. But let's be real, the hunt for the perfect tool is a whole vibe. Maybe you're not on macOS and need something that plays nice with your Windows or Linux setup. Perhaps the feature set doesn't quite match your specific grind, or you're just curious what else is cooking in this space. It's all good—exploring your options is how you find your perfect match. When you're scouting for something similar, keep your eyes peeled for a few key things. First, check what platforms it runs on. Then, dig into how it handles AI integration—can you plug in your favorite model? Finally, scope out the workflow: does it genuinely unify your tools, or is it just another window manager in a fancy jacket? Your stack deserves the best fit.

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