52 packages
agentmark
A declarative, extensible, and composable approach for developing LLM prompts using Markdown and JSX.
@agentmark/agentmark-core
<h1 align="center">AgentMark</h1>
@agentmark-ai/ai-sdk-v4-adapter
This is an adapter for the AI SDK v4. It allows you to use AgentMark prompts with the Vercel AI SDK v4.
@agentmark-ai/ai-sdk-v5-adapter
@agentmark-ai/claude-agent-sdk-adapter
@agentmark-ai/cli
Agentmark's CLI
@agentmark-ai/connect
WebSocket connect client for AgentMark — auto-connects your app to the platform
@agentmark-ai/fallback-adapter
This is default adapter for agentmark
@agentmark-ai/loader-api
HTTP-based loader for AgentMark prompts - works with local dev server and cloud API
@agentmark-ai/loader-file
Filesystem-based loader for pre-built AgentMark prompts
@agentmark-ai/mastra-v0-adapter
@agentmark-ai/mcp-server
MCP server for AgentMark trace debugging
@agentmark-ai/model-registry
LLM model registry with provider metadata, pricing, and capabilities
@agentmark-ai/prompt-core
<h1 align="center">AgentMark</h1>
@agentmark-ai/sdk
SDK for communicating with the Agentmark hosted platform
@agentmark/ai-sdk-v4-adapter
This is an adapter for the AI SDK v4. It allows you to use AgentMark prompts with the Vercel AI SDK v4.
@agentmark/ai-sdk-v5-adapter
@agentmark-ai/shared-utils
@agentmark-ai/templatedx
<h1 align="center">TemplateDX</h1>
@agentmark-ai/ui-components
@agentmark/cli
Agentmark's CLI
@agentmark/default-adapter
This is default adapter for agentmark
@agentmark/fallback-adapter
This is default adapter for agentmark
@agentmark/loader-api
HTTP-based loader for AgentMark prompts - works with local dev server and cloud API
@agentmark/loader-file
Filesystem-based loader for pre-built AgentMark prompts