Deep Agents

Agent harness built on langchain and langgraph for complex tasks.

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

What is Deep Agents?

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.

Key differentiator

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.

Capability profile

Strength Radar

Planning tool fo…Filesystem backe…Ability to spawn…Built on langcha…

Honest assessment

Strengths & Weaknesses

↑ Strengths

Planning tool for task management

Filesystem backend integration

Ability to spawn subagents

Built on langchain and langgraph

Fit analysis

Who is it for?

✓ Best 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

✕ Not a fit for

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

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

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Alternatives

Next step

Get Started with Deep Agents

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →