If you're building agents with LangSmith and want to skip the server setup, this is the deployment path. You define your agent in a local directory (Python or TypeScript), write tools and instructions as normal files, then run `mda deploy` to push it to managed infrastructure. The runtime handles durable execution, sandboxes, memory, and traces. You get Context Hub for instructions, MCP connectors for external tools, and cron schedules if you need background work. During private beta it's CLI-only and US Cloud only. Use standard LangGraph deploys if you need custom routes, advanced auth, or more control over the stack.
npx -y skills add langchain-ai/langchain-skills --skill managed-deep-agents --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills
moizibnyousaf/ai-agent-skills
github/awesome-copilot