Favur

Favur

Awesoft Solutions
Hermes Agent

Hermes Agent

Nous Research
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About

Favur is an autonomous software-building system that takes a written statement of work and turns it into a complete, tested repository without a human steering the run. A team of agents plans, builds, reviews, tests, and ships the project on its own, while scoring its own work, catching mistakes, and steering itself back on track. Every run follows the same lifecycle, architecture, sprints, review, and tests, whether the task is small or a serious project. It first reads the ask, commits to an architecture, and records its decisions before code is written. Then it breaks the work into sprints and writes pseudocode before building. One agent writes the code, a separate reviewer checks the diff against the plan, and a tester proves the result. Agents can run on different models within the same job, allowing teams to mix models for boilerplate, judgment calls, supervision, and other roles.

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and software teams seeking to turn written project requirements into complete, tested repositories through autonomous multi-agent coding workflows

Audience

Developers, technical teams, and organizations seeking an open-source, customizable AI agent for automation, workflow management, and multi-platform integration

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$20/month
Open source
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Awesoft Solutions
United States
favur.dev/

Company Information

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

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Categories

Categories

Integrations

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Hetzner
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Integrations

Claude Opus 4.6
Claude Sonnet 4.6
DeepSeek-V4
DigitalOcean
GLM-5.1
GPT-5.4 Pro
GPT-5.6 Sol Ultrafast
Hetzner
HiClaw
Kimi K2.6
Kling 3.0
LightNode
Meta Model API
Modal
Muse Spark
OVHcloud
Python
Qwen3.8-Max
Seed2.1 Pro
SuperGrok
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