deepagents — Agent Tool by langchain-ai

by langchain-ai · Agent Tool · ★ 22.3k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About deepagents

The batteries-included agent harness. Deep Agents is an agent harness. An opinionated, ready-to-run agent out of the box. Instead of wiring up prompts, tools, and context management yourself, you get a working agent immediately and customize what you need. What's included: Planning — for task breakdown and progress tracking Filesys

aideepagentslangchainlanggraphpythontypescript

Quick Facts

Stars22,288
Forks3,134
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score51.646/100
Open Issues203
Last Updated2026-05-05
Created2025-07-27
Platformspython
Est. Tokens~6738k

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Looking for a deepagents alternative? If you're comparing deepagents with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is deepagents?

deepagents is Python & TypeScript agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic . It is categorized as a Agent Tool with 22.3k GitHub stars.

What programming language is deepagents written in?

deepagents is primarily written in Python. It covers topics such as ai, deepagents, langchain.

How do I install or use deepagents?

You can find installation instructions and usage details in the deepagents GitHub repository at github.com/langchain-ai/deepagents. The project has 22.3k stars and 3134 forks, indicating an active community.

What license does deepagents use?

deepagents is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to deepagents?

The top alternatives to deepagents on Agent Skills Hub include deer-flow, composio, E2B. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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