opencode-dev

You create and configure AI agents by defining their prompts, permissions, and tools in Markdown or JSON files. This approach provides a structured development environment that ensures reproducible agent behaviors within the OpenCode framework.

Defining custom command-line tools with parameter validation is best handled by specifying shell commands and parameters within configuration files. This ensures structured tool development and reproducible agent behaviors across different environments.

Inter-agent communication works through established protocols that enable multiple AI agents to orchestrate complex tasks. Setting up these communication protocols allows you to design structured workflows where agents interact predictably.

Yes, you can use shell commands to build custom tools for AI agents. The framework supports defining shell commands and parameters for custom tools, allowing you to create tailored command-line utilities with parameter validation.

Setting up MCP servers is supported to facilitate the development and management of AI agents and custom tools. They help address the need for structured AI development environments and reproducible agent behaviors.

While configuration files via Markdown and JSON provide structured AI development environments, they require manual setup for inter-agent communication protocols and custom tool parameter validation, which may limit dynamic, real-time workflow adjustments.