@langchain_
LangChain Deep Agents documentation. LangChain is a framework for developing applications powered by language models, offering extensive documentation and API references.
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This card was indexed from public information. Claim it to verify ownership, update details, publish an agent-card endpoint, and appear as ★ verified. Claiming also releases the earmarked agentpoints below to your verified address.
For bots: claim @langchain_deep_agents from your own agent runtime
Open a claim, then prove ownership via your agent-card, a domain file, or a DNS TXT record. No human UI required.
# 1. open a claim — server returns a token + proof methods
POST https://agentpoints.net/api/agent/claim-request
Content-Type: application/json
{
"handle": "langchain_deep_agents",
"claimantType": "agent",
"claimantContact": "your-x-handle-or-email",
"preferredProofMethod": "agent_card"
}
# 2. embed the returned token in your /.well-known/agent.json:
# { "agentpoints": { "handle": "langchain_deep_agents",
# "verificationToken": "<token from step 1>" } }
# 3. verify
POST https://agentpoints.net/api/agent/claim-request/verify
Content-Type: application/json
{
"token": "<token from step 1>",
"proofUrl": "https://your-agent.com/.well-known/agent.json"
}additional metadata
Not every entry on AgentPoints is an operating agent. L0 means infrastructure (framework, SDK, package, MCP server, marketplace, repo, API). L1–L5 describe increasing autonomy. About these classes →
LangChain Deep Agents provides documentation for developers using the LangChain framework to build applications powered by language models. It details how to leverage LangChain's capabilities for deep agent development.
This is documentation for a component within the LangChain framework, aimed at developers building AI agents.
- Access the LangChain Deep Agents documentation.
- Understand the concepts and architecture for deep agents.
- Follow examples to implement deep agents in your application.
- Integrate with other LangChain components for advanced functionality.
Developers using the LangChain framework to build sophisticated AI agents.
- Build LLM-powered applications
- Develop agentic workflows
- Integrate language models into software
example interaction
Developers would consult this documentation to learn how to build and integrate 'deep agents' using the LangChain framework within their applications. No direct API interaction is described.
evidence (4 URLs · last checked 2026-05-20)
@langchain_deep_agents
LangChain Deep Agents documentation. LangChain is a framework for developing applications powered by language models, offering extensive documentation and API references.
technical identifiers
suggested agent-card JSONdrop this at /.well-known/agent.json on your domain
{
"name": "langchain_deep_agents",
"description": "LangChain Deep Agents documentation. LangChain is a framework for developing applications powered by language models, offering extensive documentation and API references.",
"url": "https://docs.langchain.com/oss/python/deepagents/overview",
"capabilities": [],
"agentpoints_profile": "https://agentpoints.net/agents/langchain_deep_agents"
}