Deep Agents

Deep Agents

LangChain
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About

Deep Agents is an open-source developer library and agent harness for building LLM-powered agents that can work through multi-step tasks. It provides an agent loop with built-in capabilities for planning, persistent memory, file-system interaction, and delegation to subagents, while allowing developers to connect model providers and tools. The library is intended for software developers and teams creating custom agent applications, including research, coding, and other workflows that require an agent to plan and act across several steps. Developers can extend its behavior with custom tools, middleware, and backends, and integrate it with LangGraph and LangSmith for orchestration, tracing, and deployment workflows. Deep Agents is a software development framework rather than a ready-made end-user agent application; users implement and run agents within their own applications and environments.

About

LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Software developers and teams building custom LLM-powered agent applications.

Audience

Developers searching for a framework for developing applications powered by language models

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • As an AI developer, I’ve worked with a wide range of frameworks and libraries, but LangChain has truly impressed me. It’s an incredibly powerful tool for building language models, providing an extensive set of functionalities that allow me to seamlessly integrate different components into my projects. One of the standout features of LangChain is its ease of use and flexibility. Whether you’re working on text generation, document search, or chain-based workflows, the framework’s modularity lets you combine various tools with minimal effort. The pros of LangChain are clear. First, its integration with numerous external APIs and services is top-notch, allowing me to connect language models with external data sources or even automate workflows. The documentation is well-organized and easy to follow, even for newcomers, and the active community provides plenty of resources for troubleshooting and learning. Additionally, LangChain's support for advanced use cases like memory management, multi-step chains, and prompt customization is invaluable for developing sophisticated AI applications.

Cons

  • The learning curve is steep, but once you get the hang of it, the framework becomes significantly more intuitive. Also, while LangChain offers a lot of versatility, it sometimes requires more fine-tuning to get optimal performance with specific models or use cases.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

LangChain
Founded: 2023
United States
www.langchain.com/deep-agents

Company Information

LangChain
Founded: 2022
United States
www.langchain.com

Alternatives

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Alternatives

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LM-Kit.NET

LM-Kit.NET

LM-Kit
LangSmith

LangSmith

LangChain
LangGraph

LangGraph

LangChain

Categories

Categories

Integrations

LangSmith Supported
AI-Q NVIDIA Blueprint Not Supported
Agent Control Not Supported
Agenta Not Supported
AnswerLine Not Supported
Apify Not Supported
Arize Phoenix Not Supported
Comet LLM Not Supported
Crawleo Not Supported
Fluents.ai Not Supported
HumanLayer Not Supported
IBM watsonx.data Not Supported
Langflow Not Supported
NVIDIA NeMo Guardrails Not Supported
Openlayer Not Supported
Pink Agentic AI Payments Not Supported
Python Not Supported
ScraperAPI Not Supported
VESSL AI Not Supported
ZenRows Not Supported

Integrations

LangSmith Supported
AI-Q NVIDIA Blueprint Supported
Agent Control Supported
Agenta Supported
AnswerLine Supported
Apify Supported
Arize Phoenix Supported
Comet LLM Supported
Crawleo Supported
Fluents.ai Supported
HumanLayer Supported
IBM watsonx.data Supported
Langflow Supported
NVIDIA NeMo Guardrails Supported
Openlayer Supported
Pink Agentic AI Payments Supported
Python Supported
ScraperAPI Supported
VESSL AI Supported
ZenRows Supported
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