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Langchain Deep Agents

docs.langchain.com/oss/python/deepagents/overview official website

provides an agent harness/SDK to build agents that handle complex, multi-step tasks with planning, file systems, subagent-spawning, and long-term memory

infrastructure
Agentery price verdictNo pricing observed
Billing model
Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Langchain Deep Agents

provides an agent harness/SDK to build agents that handle complex, multi-step tasks with planning, file systems, subagent-spawning, and long-term memory

user messages/prompts, custom functions, LangChain tools, MCP server tools, files, code → agent responses, tool calls, file reads/writes, executed code/shell operations, streamed events
MCPLangGraphLangSmithAgent Client Protocol (ACP)A2AGoogleOpenAIAnthropicMCPA2Aautonomy: infrastructure
Price status · observed daily

No public commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

Is Langchain Deep Agents good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

No price benchmark

No public commercial pricing observed.

Agentery has not observed a public price for this provider. No price does not mean free.

Observed commercial pricenone
NicheAgent Framework Open Source
Price benchmarknot applicable
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "langchain_deep_agents",
  "name": "Langchain Deep Agents",
  "url": "https://docs.langchain.com/oss/python/deepagents/overview",
  "logo": "https://agentery.com/logos/CP-FNSBSZ-128.png",
  "niche": "agent-framework-open-source",
  "category": "developer-tools-infra",
  "short_summary": "provides an agent harness/SDK to build agents that handle complex, multi-step tasks with planning, file systems, subagent-spawning, and long-term memory",
  "task_performed": "provides an agent harness/SDK to build agents that handle complex, multi-step tasks with planning, file systems, subagent-spawning, and long-term memory",
  "inputs_accepted": [
    "user messages/prompts",
    "custom functions",
    "LangChain tools",
    "MCP server tools",
    "files",
    "code"
  ],
  "outputs_produced": [
    "agent responses",
    "tool calls",
    "file reads/writes",
    "executed code/shell operations",
    "streamed events"
  ],
  "integrations_available": [
    "MCP",
    "LangGraph",
    "LangSmith",
    "Agent Client Protocol (ACP)",
    "A2A",
    "Google",
    "OpenAI",
    "Anthropic",
    "OpenRouter",
    "Fireworks",
    "Baseten",
    "Ollama",
    "GitHub",
    "VSCode",
    "Claude"
  ],
  "protocols_or_interfaces": [
    "MCP",
    "A2A"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "sometimes required",
  "pricing_model": "unclear",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public price found on the vendor site.",
    "confidence": "high",
    "source_url": "https://docs.langchain.com/oss/python/deepagents/overview",
    "checked_at": "2026-07-26T04:10:08.399Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "GitHub",
    "Trust Center"
  ],
  "evidence_quality": "high",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://docs.langchain.com/oss/python/deepagents/overview",
    "https://github.com/NVIDIA-AI-Blueprints/aiq-research-assistant"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://docs.langchain.com/oss/python/deepagents/overview",
    "docs": "https://github.com/documentation",
    "mcp": null,
    "a2a": null,
    "api": {
      "docs_url": "https://github.com/developer",
      "endpoint": null
    },
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 568,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:35:13.154Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}