Agent Frameworks

Deep Agents

Agent harness built on langchain and langgraph for complex tasks.

Status
Generally available
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0
Visit Deep Agents Compare with alternatives

What it is

Deep Agents is an agent framework that leverages langchain and langgraph, offering a planning tool, filesystem backend, and subagent spawning capabilities to handle intricate agentic tasks efficiently.

Deep Agents stands out with its unique combination of a planning tool, filesystem backend, and subagent spawning capabilities, making it ideal for handling complex agentic tasks.

When it fits — and when it doesn’t

A good fit for

  • Developers building complex task management systems who need a robust agent framework

  • Data scientists requiring an integrated filesystem backend for their AI tasks

  • Teams working on agentic tasks that benefit from subagent spawning capabilities

Look elsewhere if

  • Projects needing real-time streaming capabilities (batch-only architecture)

  • Budget-constrained projects where the self-hosted model is not feasible

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited documentation and examples for complex use cases

    Official documentation lacks detailed guides on advanced features like subagent spawning

  2. 02

    Performance issues with large-scale deployments

    System slows down significantly when managing more than 10 concurrent agents due to resource constraints

What it does well

  • Planning tool for task management

  • Filesystem backend integration

  • Ability to spawn subagents

  • Built on langchain and langgraph

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Set up Deep Agents

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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