deepagents-typescript-quickstart
Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/langchain-ai/langchain-skills --skill deepagents-typescript-quickstart- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads deepagents-typescript-quickstart automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
Deep Agents TypeScript quickstart
Follow the live docs — do not invent an alternate API from memory:
https://docs.langchain.com/oss/javascript/deepagents/quickstart
Fetch that page (Docs MCP or HTTP) and implement the research-agent shape it shows (createDeepAgent, research system prompt, invoke with a research question like “What is LangGraph?”). Requires Node 22+.
Local setup constraints
Apply these on top of the quickstart (they keep setup minimal and model-agnostic):
-
Ask which provider/model to use. Showcase that Deep Agents are model-agnostic. Suggested prompt:
Which model should this agent use? Pass a
provider:modelstring — e.g.openai:gpt-5.5,anthropic:claude-sonnet-5,google-genai:gemini-3.5-flash. Default if you're unsure:anthropic:claude-sonnet-5.
We'll use that provider's built-in web search (no separate search API key). -
Create a new directory (e.g.
deep-agent/) and do all work there — do not pollute the open project. -
Do not use Tavily (or
@langchain/tavily). Replace the quickstart's search tool with the chosen provider's built-in web search. Look up the current export/tool shape on that provider's LangChain docs (examples as of writing — re-check if needed):Provider Built-in search tool Anthropic @langchain/anthropictools.webSearch_*()(or equivalent dict)OpenAI { type: "web_search" }Google { google_search: {} }Prefer Anthropic / OpenAI / Google so provider search is available. Only secret: that provider's API key in
.env(gitignored). Skip LangSmith tracing unless they ask. -
Install packages from the quickstart minus Tavily; add the provider package for their model.
-
Run the research example, show output, then stop. Point to
deep-agents-core/ customization / Managed Deep Agents for next steps.
FAQ
What does the deepagents-typescript-quickstart skill do?
Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.
How do I install deepagents-typescript-quickstart?
Run npx skills add https://github.com/langchain-ai/langchain-skills --skill deepagents-typescript-quickstart in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/deepagents-typescript-quickstart/ (personal) or .claude/skills/deepagents-typescript-quickstart/ (project).
Which AI agents can use deepagents-typescript-quickstart?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is deepagents-typescript-quickstart safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk flagged items to review. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains deepagents-typescript-quickstart?
It is published by langchain-ai in langchain-ai/langchain-skills. It has 4,992 recorded installs.
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