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Description

Deep Agents serves as an open-source library and agent framework designed for the creation of LLM-driven agents capable of executing multi-step tasks. This library features an agent loop equipped with functionalities such as planning, persistent memory, file-system access, and the ability to delegate tasks to subagents, while also enabling developers to connect various model providers and tools seamlessly. Aimed at software developers and teams focused on crafting tailored agent applications, it supports diverse workflows including research, programming, and other scenarios necessitating planning and action across multiple steps. Additionally, developers have the flexibility to enhance the framework's capabilities by incorporating custom tools, middleware, and backends, while also integrating with LangGraph and LangSmith for effective orchestration, tracing, and deployment processes. Ultimately, Deep Agents functions as a foundational software development framework, empowering users to create and operate agents within their specific applications and environments, rather than providing a pre-built agent for end-users. This versatility makes it an invaluable asset for those looking to innovate in the realm of agent-based application development.

Description

RA.Aid is an open-source AI assistant that streamlines research, planning, and execution to accelerate software development workflows. Utilizing LangGraph's agent-based task management structure, RA.Aid functions through a three-tier architecture. It is compatible with various AI providers, such as Anthropic's Claude, OpenAI, OpenRouter, and Gemini, giving users the flexibility to choose models that align with their specific needs. Furthermore, the assistant incorporates web research functionalities, allowing it to gather current information from the internet to improve its task performance and understanding. Users can engage with the agent through an interactive chat mode, which makes it easy to pose questions or redirect tasks as desired. In addition, RA.Aid can work in conjunction with 'aider' by using the '--use-aider' command, which enhances its code editing capabilities. It is also equipped with a human-in-the-loop feature, allowing the agent to request user input during task execution to achieve greater precision. By combining automation with human oversight, RA.Aid aims to create a more effective development experience for users.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Claude No 
Gemini No 
Gemini Enterprise No 
Git No 
LangSmith Yes 
OpenAI No 
OpenRouter No 
Python No 
dcode Yes 

Integrations

Claude Yes 
Gemini Yes 
Gemini Enterprise Yes 
Git Yes 
LangSmith No 
OpenAI Yes 
OpenRouter Yes 
Python Yes 
dcode No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

LangChain

Founded

2023

Country

United States

Website

www.langchain.com/deep-agents

Vendor Details

Company Name

RA.Aid

Country

United States

Website

www.ra-aid.ai/

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