# Kiro vs Cursor > Kiro and Cursor compared from each vendor's own documentation, read on 10 October 2026. If your company signs in through AWS IAM Identity Center and wants customer-managed KMS keys, choose Kiro. Its enterprise setup is built on IAM Identity Center and supports KMS keys you own. If you want cloud agents running on machines you manage, choose Cursor. It documents self-hosted machines for cloud agents; Kiro's cloud sessions run in a managed sandbox. Canonical: https://fabric.pro/compare/kiro-vs-cursor --- Written by TechFabric, which builds Fabric, an open-source AI agent platform that gives Cursor, Claude Code and other coding agents your team's documents, tickets and decisions over MCP, with sources. Fabric is not one of the options compared here. Vendor documentation read 10 October 2026 ยท by TechFabric ## Where they differ | | Kiro | Cursor | | Where it runs | A desktop IDE built on a VS Code foundation, the Kiro CLI, a web app, an iOS app in TestFlight early access, and Kiro Crew. The.kiro configuration is shared across all of them. kiro.dev | A desktop editor, the Cursor CLI in the terminal, and cloud agents started from the desktop app, cursor.com/agents, the iOS app, Slack, GitHub, Bitbucket, Linear or the API. cursor.com | | Pricing and plans (as published 10 Oct 2026) | Free includes 50 credits. Pro is $20/user/mo (1,000 credits), Pro+ $40 (2,000), Pro Max $100 (5,000) and Power $200 (10,000). Extra credits are $0.04 each. Enterprise is priced by sales. kiro.dev | Hobby is free. Pro is $20/mo, Pro Plus $60/mo and Ultra $200/mo. Teams is $40/user/mo for a Standard seat or $120/user/mo for Premium (5x the agent limits). Enterprise is priced by sales. Each plan includes a set amount of model usage; third-party models draw it down at API rates, then on-demand usage is billed. cursor.com | | Models available | An Auto router, Claude Opus, Sonnet and Haiku versions, Claude Fable 5.1 in preview, OpenAI GPT-5.6 Sol, Terra and Luna, and open-weight models including DeepSeek 3.2, MiniMax, GLM-5 and Qwen3 Coder Next. kiro.dev | Several vendors: Anthropic Claude, OpenAI GPT, Google Gemini, Z.ai GLM, Moonshot Kimi and Meta Muse Spark, plus Grok models jointly trained by Cursor and SpaceXAI and Cursor's own Composer 2.5. An Auto mode can pick the model. cursor.com | | Agent and background work | The agent runs in the IDE and CLI. Cloud sessions run in a managed sandbox that keeps working while you are disconnected and can be picked up from the IDE, CLI, web or mobile; workflows run multi-step plans in the background. kiro.dev | Agent and Plan modes run locally. Cloud agents run in isolated VMs with full development environments, in parallel, without your machine connected, and open pull requests. Self-hosted machines can run the cloud agents' tool execution on hardware you manage. cursor.com | | MCP support | Supported across the IDE, CLI and web. An MCP registry gives enterprise teams centrally managed server access through IAM Identity Center. kiro.dev | Supported over stdio, SSE and Streamable HTTP, configured in mcp.json. Cloud agents can use MCP servers too. cursor.com | | Enterprise controls and data use | Enterprise sign-in through AWS IAM Identity Center or an external identity provider, usage analytics, model governance and customer-managed KMS keys. Content from enterprise users is not used for service improvement; Free and individual subscribers' content may be, unless they opt out. kiro.dev | Teams adds SAML/OIDC SSO and team-wide Privacy Mode, under which code is not used for training by Cursor or model providers. Enterprise adds SCIM, audit logs, model and MCP access controls and pooled usage, with Privacy Mode on by default. Cloud agents are the one feature that stores code, temporarily. cursor.com | | Planning before code | Specs turn a feature or bug into requirements with acceptance criteria, a design document and a task list, with feature, bugfix and quick variants. kiro.dev | Plan mode designs the approach with clarifying questions before coding; it is a mode, not a set of spec documents. cursor.com | ## Which to choose - 01 You want requirements and a design written down and approved before the agent writes code: Kiro. Specs produce requirements, a design and tasks as files; Cursor's Plan mode plans without that document set. - 02 Your company signs in through AWS IAM Identity Center and wants customer-managed KMS keys: Kiro. Its enterprise setup is built on IAM Identity Center and supports KMS keys you own. - 03 You want to use Gemini, Grok or Kimi models, or Cursor's own Composer: Cursor. Kiro's model list covers Claude, GPT-5.6 and open-weight models but not those. - 04 You want cloud agents running on machines you manage: Cursor. It documents self-hosted machines for cloud agents; Kiro's cloud sessions run in a managed sandbox. ## How the comparison was done Every cell in the table comes from Kiro 's or Cursor 's own documentation, pricing or product pages, read on 10 October 2026, and links to the page it came from. Where a vendor's documentation does not say something, the cell says so instead of guessing. Nothing here comes from a benchmark we ran, and the verdicts only follow from the table. Plans, prices and model lists for coding agents change month to month. Check the vendor's page before you buy, and tell us if a cell has gone stale. ## Who wrote this, and their stake TechFabric wrote this page. We build Fabric, an open-source AI agent platform that is neither Kiro nor Cursor. It runs as an MCP server, so either one can read your team's record and cite its sources from the session you already have open. We gain if you use Fabric with whichever you choose, and nothing from which one that is. ## Sources Each page below was read on 10 October 2026. - https://kiro.dev/docs/getting-started/installation - https://kiro.dev/docs/ide - https://cursor.com/docs/cloud-agent - https://cursor.com/docs/cli/overview - https://kiro.dev/pricing/ - https://cursor.com/docs/models-and-pricing - https://cursor.com/pricing - https://cursor.com/docs/account/teams/pricing - https://kiro.dev/docs/models/available-models - https://kiro.dev/docs/cloud-sessions - https://cursor.com/docs/cloud-agent/self-hosted - https://kiro.dev/docs/mcp - https://cursor.com/docs/mcp - https://kiro.dev/docs/privacy-and-security/data-protection - https://cursor.com/docs/enterprise/privacy-and-data-governance - https://kiro.dev/docs/specs ## Questions ### Kiro or Cursor: which if you want requirements and a design written down and approved before the agent writes code? Kiro. Specs produce requirements, a design and tasks as files; Cursor's Plan mode plans without that document set. ### Kiro or Cursor: which if your company signs in through AWS IAM Identity Center and wants customer-managed KMS keys? Kiro. Its enterprise setup is built on IAM Identity Center and supports KMS keys you own. ### Kiro or Cursor: which if you want to use Gemini, Grok or Kimi models, or Cursor's own Composer? Cursor. Kiro's model list covers Claude, GPT-5.6 and open-weight models but not those. ### Kiro or Cursor: which if you want cloud agents running on machines you manage? Cursor. It documents self-hosted machines for cloud agents; Kiro's cloud sessions run in a managed sandbox. ### Where do the Kiro vs Cursor facts come from? From Kiro's and Cursor's own documentation and pricing pages, read on 10 October 2026 and linked under Sources on this page. Nothing here comes from a hands-on benchmark. Plans and models change often, so check the vendor's page before you buy. ### Does Fabric replace Kiro or Cursor? No. Fabric runs as an MCP server, so either tool can use Fabric's shared record, cited answers and agents from the session you already have open. Fabric is built by TechFabric, which wrote this comparison.