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Zed

Fast open source code editor with built in AI, agentic editing, edit predictions, multiplayer collaboration, external agents through ACP, and MCP support.

About Zed

Zed is an open source code editor built for speed, collaboration, and AI assisted software development. The editor is written from scratch in Rust and is designed to make efficient use of multiple CPU cores and the GPU. Zed is available for macOS, Linux, and Windows.

Zed combines conventional code editing with built in AI assistance and agentic workflows. Developers can delegate coding tasks to agents that discover relevant context, edit files, navigate projects, and use development tools. Agent generated changes can be followed as they happen and reviewed through an editable unified diff before they are accepted.

Zed is not limited to a single AI model or coding agent. Developers can use Zed hosted models, connect their own model provider API keys, run local models through Ollama, or connect external coding agents through the Agent Client Protocol. Zed also supports Model Context Protocol servers for extending agents with additional tools and knowledge.

The editor includes multiplayer collaboration, native Git functionality, debugging through the Debug Adapter Protocol, remote development, language server support, extensions, an integrated terminal, and edit predictions powered by Zeta.

Key Features

  • Agentic Editing: Delegate development tasks to an AI agent that can gather context, edit files, navigate the project, and use development tools.

  • External Agent Support: Connect compatible external coding agents through the Agent Client Protocol, including agents such as Claude Agent, Codex, OpenCode, and Gemini CLI.

  • Edit Prediction: Zeta predicts upcoming code edits at keystroke level to help developers complete repetitive editing tasks faster.

  • Model Flexibility: Use Zed hosted models, bring your own API keys, or connect locally running models through providers such as Ollama.

  • Agent Review Workflow: Inspect agent generated changes through an editable unified diff and accept or reject changes before committing them.

  • Developer Collaboration: Built in multiplayer capabilities allow developers to code together, communicate, share projects, and work within collaborative development sessions.

Pricing

  • Personal: $0 forever

    Includes 2,000 accepted edit predictions and unlimited use with your own API keys or supported external agents.

  • Pro: $10/month

    Includes unlimited edit predictions and $5 of hosted model token usage. Additional hosted AI usage is billed based on usage.

  • Business: $30/seat/month

    Adds organization wide AI model policies, data governance controls, unified spending visibility, unlimited edit predictions, and role based access controls. Business seats do not include a fixed amount of hosted LLM credits.

Pricing last updated: September 15, 2026 at 12:00 AM

Use Cases

  • AI assisted software development with agents that can inspect and modify a codebase

  • Connecting multiple coding agents and AI model providers to one development environment

  • Fast local code editing with integrated Git, terminal, debugging, language tools, and AI assistance

  • Collaborative development where developers and AI agents work within shared project workflows

Pros & Cons

Pros:

  • Open source editor built in Rust with a strong focus on editing performance

  • Supports hosted models, external agents, bring your own API keys, and local models rather than requiring one AI provider

  • Combines agentic editing, human review, multiplayer collaboration, Git, debugging, and remote development in one editor

Cons:

  • SSO, SAML, and SCIM are planned for the Business plan but are not currently available

  • Pro includes a limited hosted AI token allowance, with additional hosted model usage billed separately

Integrations

Anthropic, OpenAI, Google AI, GitHub Copilot, Amazon Bedrock, DeepSeek, Mistral, Ollama, OpenRouter, LM Studio, Vercel, Claude Agent, Codex CLI, OpenCode, Model Context Protocol

FAQ

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Last edited

September 15, 2026 at 9:20 AM by Venkatraman Chandrasekaran

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