Added support for GLM-5, a sparse mixture-of-experts model with a 200K context window designed for complex systems engineering and long-horizon agentic tasks. GLM-5 excels at processing repository-scale context and maintaining coherence during multi-step tool use across large codebases, making it a strong choice for cross-file migrations, full-stack feature development, and legacy refactoring where the model needs to hold the full picture. Available with experimental support in both the Kiro IDE and Kiro CLI. Inference runs in us-east-1 (N. Virginia) with a 0.5x credit multiplier. Restart your IDE or CLI to access it from the model selector. Learn more ->
Administrators can now export Kiro subscription data as a CSV file directly from the Kiro Console. The new "Download CSV" button on the Users & Groups page's Subscriptions table exports user name, subscription plan, status, type, and activation date.
Claude Opus 4.6 and Claude Sonnet 4.6 now support a 1M context window, up from 200K, and are no longer marked as experimental. Both models are now generally available in the Kiro IDE and Kiro CLI for Pro, Pro+, and Power tier subscribers.
Restart your IDE or CLI to see the updated models. Learn more ->
MiniMax M2.5 is now available in eu-central-1 (Frankfurt) for users authenticating with AWS IAM Identity Center, extending support beyond us-east-1 (N. Virginia).
Available on all subscription tiers with a 0.25x credit multiplier and 200K context window. Restart your IDE or CLI to access it from the model selector. Learn more ->
This release brings an experimental refreshed terminal UI behind the --tui flag. The new experience features a live status bar, rich markdown rendering with syntax-highlighted code blocks, interactive panels for managing context and sessions, and contextual overlays for tools and help. You also get /chat new for starting fresh conversations without restarting the CLI, and --list-models for quickly checking which models are available.
New Terminal Experience
Get a richer chat experience with the new TUI. Agent responses render with full markdown, syntax-highlighted code blocks, tables, and nested formatting. Tool calls show descriptive titles and progress indicators as they run. Interactive panels let you browse context, switch sessions, and manage tools without leaving the terminal. The classic interface remains the default, so you can switch back at any time. Try it with kiro-cli --tui or set it permanently with kiro-cli settings chat.ui "tui". Learn more ->
A new open weight model is now available with experimental support in the Kiro IDE and CLI. Available on Free, Pro, Pro+, and Power tiers with all authentication methods. Supported in us-east-1 (N. Virginia). Restart your IDE or CLI to access it from the model selector.
MiniMax M2.5 matches frontier-class coding performance at a fraction of the cost. Trained with reinforcement learning across hundreds of thousands of real-world environments, it delivers strong results across the full development lifecycle from system design to code review and completes complex agentic tasks significantly faster than its predecessor. 200K context window with a 0.25x credit multiplier.
Eligible university students now get one full year of free access to Kiro with 1,000 credits per month. No credit card required, no trial timer. Kiro's spec-driven development teaches structured problem decomposition — useful whether you're building class projects, hackathon prototypes, or startup MVPs. Every job now expects AI fluency; Kiro helps students build with AI from day one.
What's included
Students receive 1,000 credits per month for 12 months, with full access to Kiro IDE and CLI agentic capabilities including spec-driven development. Verification is handled through SheerID using a university-affiliated email.
MiniMax 2.1, DeepSeek 3.2, and Qwen3 Coder Next are now available for AWS IAM Identity Center users. All three open weight models are available on all plans in both the Kiro IDE and CLI. MiniMax 2.1 and Qwen3 Coder Next are available in both us-east-1 (N. Virginia) and eu-central-1 (Frankfurt). DeepSeek 3.2 is available in us-east-1 only. Credit multipliers are unchanged: DeepSeek 3.2 at 0.25x, MiniMax 2.1 at 0.15x, and Qwen3 Coder Next at 0.05x. Learn more ->
This release gives enterprise teams centralized control over MCP server access and model availability, and adds document attachment support to chat.
MCP Registry Governance
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Enterprise administrators using IAM Identity Center can now control which MCP servers their organization is allowed to use. Create a JSON registry file listing approved servers, host it over HTTPS, and configure the URL in the Kiro console. The registry supports remote (HTTP) and local (stdio) servers across npm, PyPI, and OCI package types, with ${VAR} placeholders for user-specific values like auth tokens. Kiro syncs with the registry every 24 hours, enforces version-pinned access, and works alongside the existing MCP on/off toggle to give you full control at the org or account level.
Model Governance
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Enterprise administrators can now control which AI models are available to users in their organization. Toggle on model access management in the Kiro console under Settings > Shared settings > Model availability, then curate an approved list of models. You can also set a default model that auto-applies across all clients. This is especially relevant for data residency requirements — experimental models using global cross-region inference can be removed from the approved list until they move to GA with regional inference. Once enabled, only approved models appear in the model selector across both the IDE and CLI.
Document Attachments
You can now attach documents directly to chat messages by pasting or dragging files into the input. Supported formats include PDF, CSV, DOC, DOCX, XLS, XLSX, HTML, TXT, and Markdown. Documents are sent to the model as native document blocks, so the agent can read and reason over their contents. You can attach up to 5 documents per message and mix them with text and images in the same prompt.
This release streamlines how you create and manage agents. Describe what you need and Kiro CLI generates your agent config, use the new session settings tool to tweak preferences mid-conversation without editing config files, and control exactly which shell commands you trust with granular scoped permissions.
Simplified Agent Creation
The /agent create command now defaults to AI-assisted mode, merging the previous /agent generate workflow into a single command. Describe what you want your agent to do and Kiro generates the agent configuration for you. Pass --manual to use the previous editor-based creation flow. You can also specify creation arguments directly at invocation time to bypass the interactive menu entirely. Learn more ->
Granular Tool Trust
When Kiro asks to use a tool, you now get an interactive picker to choose how broadly to trust it. For shell commands, select from tiered scopes — trust the exact command, the command with any arguments, or the base command with wildcards. For read and write tools, scope trust to specific file paths, the containing directory, or the entire tool. The picker adapts to each action, skipping tiers that aren't meaningful, and handles chained shell commands automatically. Learn more ->
Session Settings Tool
You can now ask the agent to adjust settings temporarily within your current session — change model preferences, toggle features, or tweak behavior without modifying your config files. All session overrides apply in-memory and reset automatically when the session ends. Learn more ->
