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Learn to build a local AI coding agent that integrates with the Zed editor using the Agent Client Protocol (ACP) in this 19-minute tutorial. Discover how ACP standardizes AI coding agents similar to how LSP standardized language tooling, and explore the simplicity of creating custom agents that communicate with Zed over stdio. Build a minimal 15-line Python echo agent from scratch and run it instantly using uvx without any installation requirements. Examine the ACP specification and protocol overview to understand how agents connect to editors. Extend your knowledge by integrating advanced language models including the Kimi K2 thinking model through the Kimi CLI and Claude Code. Access the complete source code through the provided GitHub repositories and follow along with timestamped chapters covering everything from basic Zed agent setup to implementing custom LLM agents with thinking capabilities.
