create-agent-adapter

To integrate a custom AI agent runtime with Paperclip, you build an end-to-end adapter implementing server, UI, and CLI interfaces, alongside session persistence and output parsing, aligned with Paperclip's adapter conventions.

The best way to build a Paperclip agent adapter is to follow the complete implementation guide derived from existing production adapters like claude-local and codex-local, ensuring strict convention alignment for seamless ecosystem compatibility.

Yes, Paperclip's adapter system supports both new CLI agents and API-based agents by applying the required server, UI, and CLI module interfaces, environment diagnostics, and secure skill injection patterns within your custom adapter.

You implement session management and output parsing by configuring the required adapter interfaces within your custom AI tool, satisfying Paperclip's functional requirements for session persistence and cross-system runtime communication.

Yes, you can modify Paperclip's existing adapter system to support additional AI coding tools by extending the registration points and applying the environment testing and secure skill injection patterns.

You need a custom agent adapter for AI orchestration when integrating a new AI coding CLI or custom API-based agent that lacks native support within Paperclip's existing business orchestration platform and adapter ecosystem.