agentboards.org
Compare/Kiro vs Zed

KirovsZed

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

Kiro
Amazon Web Services · AI-native IDE
#57MCP
Panel
6.5
2 spec wins
Reliability
6.3
Usefulness
6.7
Cost
5.7
Longevity
7.3

“Makes you write requirements, design and tasks before any code, so the credit meter starts running before the first line does.”

Zed
Zed Industries · AI-native IDE
#2OSSMCP
Panel
7.5
6 spec wins
Reliability
7.2
Usefulness
6.7
Cost
8.0
Longevity
8.0

“A GPL editor that will host Claude, Codex and Gemini in one panel, so the agent wars now happen inside a Rust window.”

Spec by spec

SpecKiroZed
Architecture
CategoryAI-native IDEAI-native IDE
Runslocal, cloud, sandboxlocal
Platformsmacos, linux, windows, webmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverNoNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesYes
Browser controlYesEvery Kiro Web sandbox ships a headless Chrome with Playwright MCP, the agent-browser CLI and the Chrome DevTools MCP server preinstalled; the local IDE and CLI have no built-in browser tool. NoThe agent's only web tools are fetch, which returns a URL as Markdown, and search_web; there is no browser control, Playwright or DevTools protocol access.
Sandboxed executionYesKiro Web runs each task in its own isolated execution environment with configurable access controls. YesAgent tool calls run in an OS-level sandbox — Seatbelt via sandbox-exec on macOS and bubblewrap on Linux, applied to the terminal and fetch tools; on Windows only inside WSL.
Multi-agent orchestrationYesYes
Headless / CI modeYesNoThe zed CLI only opens files, windows and diffs — no print, exec or other non-interactive mode for running the agent from a script or CI is documented.
Models
BackboneClaude, GPT, DeepSeek, Qwen, MiniMax, GLMClaude, GPT, Gemini, Bedrock, OpenRouter, Ollama, LM Studio, Copilot
Bring your own modelNoKiro exposes a picker over its own curated model list plus an Auto router; no custom base URL, Bedrock deployment or self-hosted endpoint is documented. Yes
Local modelsNoNo local or OpenAI-compatible endpoint is documented; only Kiro-hosted models are selectable. Yes
Cost
Pricing modelmixedmixed
Starts at$20/mo$10/mo
Free tierYesYes
Bring your own keyNoKIRO_API_KEY for headless runs is a Kiro platform token billed against Kiro credits, not your own provider or AWS account key. Yes
Openness
Open sourceNoYes
LicenseproprietaryGPL-3.0-or-later
GitHub stars4,34391,181

Which one would each critic pick

CriticKiroZedPick
El Juez——not enough reviews
El Amigo7.37.8Zed — Pick Zed if you live in the editor and want the agent to feel instant; pick Cursor if you want the agent to do more of the work for you.
El Crítico6.37.0Zed — The agent runs a terminal tool on your working tree with sandboxing off by default, and the fetch tool stays outside the sandbox even when you turn it on.
El Profesor6.57.3Zed — No benchmark claim, and an architecture worth studying: the Agent Client Protocol lets foreign agents run inside the editor, so the design does not depend on Zed's own loop.
La Inversora7.87.3Kiro — Kiro is AWS's entry, and the question is never whether AWS can fund it, only whether AWS keeps caring.
La Jefa7.06.5Kiro — SSO and centralized billing exist, steering files make rules enforceable, and the meter has an admin-controlled overage switch; approved with conditions.
El Hacker4.39.0Zed — GPL-3.0, MCP servers in a context_servers block in settings.json, Ollama and LM Studio as providers, and ACP to plug my own agent in.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.