What is deepagents?

67/100
Trust Score (B-)
⚠️ Use Caution

deepagents is a coding that Deep Agents is an agent harness built on langchain and langgraph. Deep Agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped to. It has a Nerq Trust Score of 67/100 (B-). 9.5K GitHub stars. Published by langchain-ai. Last analyzed May 2026.

Why This Score

Trust & Safety Overview

67
TRUST SCORE
B-
GRADE
9.5K
STARS
0
DOWNLOADS

What deepagents Does

deepagents is a agent in the coding category. Deep Agents is an agent harness built on langchain and langgraph. Deep Agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped to handle complex agentic tasks.. It is published by langchain-ai and is open source. With 9.5K GitHub stars and 0 downloads, it has a large and active community of users and contributors.

Who Should Use deepagents

deepagents is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

Authorlangchain-ai
Categorycoding
LicenseMIT
Typeagent
SourceView on GitHub
Security Score1/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=langchain-ai-deepagents

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

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AutoGPT63181.9K
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system-prompts-and-models-of-ai-tools56115.3K
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Frequently Asked Questions

What is deepagents used for?
deepagents is a coding tool. Deep Agents is an agent harness built on langchain and langgraph. Deep Agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped to.
Is deepagents free?
License: MIT. deepagents has 9.5K GitHub stars.
Is deepagents safe?
deepagents has a Nerq Trust Score of 67/100 (B-). Use with caution.
What are alternatives to deepagents?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.

Last updated May 2026. Trust scores based on automated analysis of public data.

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