Deep Agents
An agent harness for building autonomous AI agents that plan complex multi-step tasks, manage their own filesystem, and spawn specialized subagents for long-horizon work.
Deep Agents is an open-source agent harness built on LangChain and powered by the LangGraph runtime for durable execution, streaming, and human-in-the-loop workflows. It addresses the gap where standard LLM agents break down on multi-step, stateful, and artifact-heavy tasks by providing a structured runtime with built-in planning, context isolation, and delegation. The framework includes a write_todos planning tool, a virtual filesystem backend with multiple storage options, and a subagent delegation system enabling a primary agent to spawn specialized subagents with isolated context.
Use cases
Multi-step autonomous research with structured report generation
Multi-tier customer support triage with specialized subagents
Automated software testing and deployment pipeline management
Personal productivity automation with persistent memory
Integrations
LangGraph
LangSmith
LangChainOpenAI
Anthropic
Google Gemini
Modal
Daytona
Deno
NVIDIA AI Enterprise
Expected outcomes
Reduced manual effort on complex multi-step tasks
Improved task completion rates through structured planning and context isolation
Increased developer productivity through reusable subagent patterns
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Company
LangChain
San Francisco, USA
Founded 2023
Primary Verticals
Financial Services (BFSI)Healthcare & Life SciencesRetail & E-commerceTelecom & MediaManufacturing
Functions
Engineering & DevOpsIT OperationsData & AnalyticsCustomer ExperienceSales & Marketing
Industries
Financial Services (BFSI)Healthcare & Life SciencesRetail & E-commerceTelecom & MediaManufacturing
10
Integrations
4
Use cases
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