Tech • AI • Robotics • Game
Kiro v4, all AI in one free tool!
7/10TL;DR
Kiro V4 is a free, browser-based interface that lets users access and manage multiple AI models from one place, with local storage, pay-as-you-go APIs and major new tools for visual editing and code generation.
KEY POINTS
A free multi-model AI hub
Kiro V4 is presented as a unified interface for using many LLMs without separate subscriptions to services such as OpenAI, Anthropic, Google, Mistral, xAI or Chinese models. The tool is distributed as a ZIP file, requires no installation, opens directly in a browser and is described as open and free to use. Its model is based on direct access to providers or local models rather than routing traffic through an intermediary server.
Local-first design and privacy focus
The application stores conversations, settings and history in the user’s own browser storage rather than in a remote cloud managed by the tool itself. API keys are entered locally for providers such as OpenAI, Anthropic, Google, Perplexity, Mistral and OpenRouter. The trade-off is that users who wipe their machine or browser data also lose their local history.
Pay-as-you-go instead of subscriptions
A central pitch of Kiro V4 is cost transparency. Rather than paying monthly fees, users can call commercial models through APIs and pay only for actual usage. The interface displays token use and expected costs, aiming to help users understand spending model by model and response by response.
Switching models inside one conversation
One of the headline features is the ability to move from one model to another within the same chat thread while keeping context. A user can start with Claude Sonnet, continue with Mistral Large, then switch again to Gemini or another model without restarting from scratch. The interface marks which model produced each answer, a capability positioned as rare in mainstream chatbot products.
Support for local AI models
Kiro V4 also connects to local inference systems such as Ollama and LM Studio, allowing users to run models on their own machine at no per-call cost. That means a single interface can mix paid cloud models with fully local ones, depending on the task, hardware and budget.
Image generation and multimedia tools
The platform handles both text and image models. Users can set image size, quality, output type and moderation level, then generate visuals in the same conversation as text prompts. It also includes voice input, text-to-speech playback, audio export and file attachments, including PDFs and project folders.
Advanced context control
A major practical feature is fine-grained management of conversation context. Users can delete a stray question or answer from the middle or end of a thread, regenerate replies with a different model, edit previous prompts and monitor how much context is being consumed. The interface warns when a thread grows too large and offers summarization to start a cleaner, cheaper follow-up conversation.
Custom roles and global instructions
Kiro V4 adds customizable global instructions that apply across all models, plus reusable role presets for specific interaction styles. A model can be turned into a strict teacher, a friendly assistant or another tailored persona without rewriting prompts manually every time. Those settings are separate from provider-specific chatbot memory systems, giving users one consistent control layer.
Two major additions: visual editing and code artifacts
The release highlights two large upgrades. First, a Canva-like editing mode lets users interact with generated content visually. Second, an artifact-style development mode can generate working files such as HTML, CSS and JavaScript, preview them live, lock files, edit output visually and export projects. The tool can effectively act as a lightweight development workspace for small apps and prototypes.
Community distribution with non-commercial intent
The software is offered free through the Renaud Decodes website, with users encouraged to download it from there rather than pass around copies. Its creators ask people not to commercialize it and to keep it for personal use rather than company-wide deployment. Feedback and feature ideas are gathered through hundreds of user comments, with development led by a small core team.
CONCLUSION
Kiro V4 targets a growing frustration with fragmented AI subscriptions by offering one interface for cloud and local models, detailed cost control and tools that go beyond standard chat. Its success will likely depend on whether users value flexibility and transparency enough to manage APIs and local setups themselves.
Ask a question