Deep Agents

Deep Agents

LangChain
Hermes Agent

Hermes Agent

Nous Research
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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

Hermes Agent by Nous Research is an open-source autonomous AI agent designed to run locally on your server and improve over time. It operates independently from traditional chatbots by maintaining persistent memory and learning from past interactions. The agent can integrate with multiple platforms such as Slack, Discord, Telegram, and WhatsApp through a unified gateway. Hermes supports automation tasks like scheduling reports, managing workflows, and executing commands using natural language. It also enables parallel task execution through subagents, improving efficiency for complex operations. With built-in tools for web browsing, search, and code execution, it provides a versatile environment for various tasks. Overall, Hermes Agent acts as a continuously evolving AI system that adapts to user needs and workflows.

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 Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises 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, technical teams, and organizations seeking an open-source, customizable AI agent for automation, workflow management, and multi-platform integration

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 Not Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Pricing

$20/month
Open source
Free Version 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

This software hasn't been reviewed yet. Be the first to provide a review:

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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

  • Hermes Agent is really interesting from a developer’s point of view because it feels like a real agent framework instead of another chatbot wrapper. I like that it has persistent memory, reusable skills, tool use, cron jobs, and messaging integrations built around the idea of an agent that keeps improving over time. The open-source MIT license is a big plus. As a developer, I want to inspect the code, self-host it, modify the runtime, and understand how the agent is making decisions instead of depending completely on a closed platform. The self-improving skills system is the most exciting part. If Hermes can actually turn repeated workflows into reusable skills, that makes it much more useful for long-term automation, personal agents, dev workflows, research tasks, and ops work. I also like that it can run across terminal, desktop, cloud, and messaging channels. That makes it feel closer to a persistent digital teammate than a tab I have to keep open.

Cons

  • The power also creates risk. Recent security reporting says Hermes Agent has already been abused in real-world intrusion activity when operators ran it with minimal supervision, which is a reminder that autonomous agents need tight permissions, logging, and human review. It is also probably not the best starting point for casual users. To get the most out of Hermes, you need to be comfortable with setup, self-hosting decisions, access control, model choices, and deciding exactly what the agent should be allowed to do. I would be careful with anything involving credentials, production systems, customer data, or destructive actions. Hermes looks powerful, but it should be treated like a junior employee with limited permissions, not like a fully trusted autonomous operator.

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

Nous Research
Founded: 2023
United States
hermes-agent.nousresearch.com

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Categories

Categories

Agentic AI Supported
AI Agents Supported

Integrations

Advibly Not Supported
Claude Mythos 5 Not Supported
Claude Opus 4.6 Not Supported
Claude Opus 5.5 Not Supported
Discord Not Supported
GPT-6 Luna Not Supported
Grok 4.3 Not Supported
Kimi K2.6 Not Supported
Kling 2.6 Not Supported
LangSmith Supported
LumaDock Not Supported
MiMo-V2.5 Not Supported
Nous Portal Not Supported
OpenViking Not Supported
Qwen3.6-Max-Preview Not Supported
Qwen3.6-Plus Not Supported
Railway Not Supported
Solar Pro 4 Not Supported
Veo 3.1 Not Supported
Virtarix Not Supported

Integrations

Advibly Supported
Claude Mythos 5 Supported
Claude Opus 4.6 Supported
Claude Opus 5.5 Supported
Discord Supported
GPT-6 Luna Supported
Grok 4.3 Supported
Kimi K2.6 Supported
Kling 2.6 Supported
LangSmith Not Supported
LumaDock Supported
MiMo-V2.5 Supported
Nous Portal Supported
OpenViking Supported
Qwen3.6-Max-Preview Supported
Qwen3.6-Plus Supported
Railway Supported
Solar Pro 4 Supported
Veo 3.1 Supported
Virtarix Supported
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