Bulk file and version management
Search, extract, and process cloud files and versions in bulk through Box skills
Best for：Individual or team users of Box
Personal Agent / Productivity
Hermes Agent
Hermes Agent is an open-source AI agent framework released by NousResearch, supporting local or cloud deployment. Users can freely extend it and connect different models to carry out personal tasks.
Product type: Personal AgentPricing: UnknownAPIMaster integration: Supported
Website created
2023-03-22
OpenRouter token usage rank
#1
Source: OpenRouter
Monthly unique visitors
2.031M
Source: SimilarWeb
Overview
This product is positioned as a self-hostable personal agent system that users interact with through a terminal, desktop app, or messaging interface. Its core strengths are support for learning and saving skills, tool gateway integration, and switching between or mixing multiple models. It suits developers and individual users who want to embed an agent into daily workflows and handle repetitive file or information tasks. What sets it apart from similar products is that it is fully open source, can run on your own hardware, and can be extended without relying on a single cloud vendor.
One-line summary
Hermes Agent is an open-source AI agent framework released by NousResearch, supporting local or cloud deployment. Users can freely extend it and connect different models to carry out personal tasks.
What people use it for
Users actually use it to organize computer folders, monitor activity from specific accounts, save common operations as skills for repeated reuse, or send remote instructions through Telegram from a phone so the agent can execute them on a VPS.
Best for
AI builders and productivity users
How it works
Connect a model provider, enable the required tools, and let the Agent plan and execute tasks through multiple calls. The exact interface and default settings depend on the current version.
Quick facts
Product type
Personal Agent
Pricing
Unknown
Please verify pricing and hosting options against the current project documentation.
APIMaster integration
Supported
Hermes model → Custom endpoint, or ~/.hermes/.env
Data confidence
Low
Last verified: 2026-08-29
Supported models / APIs
Provider support changes by versionCustom endpoint: pending verification
Core features and differentiators
Real browser profile-based browsing
Uses a copy of the user's existing Chrome profile to perform web tasks with logged-in state
Native desktop app
Provides a full desktop UI with multi-agent management, persistent memory, and autonomous workflows
MCP connector catalog
Connect to 44+ services and data sources such as Box, Cloudflare, GitLab, and Datadog with one click
Multi-model hybrid execution
Supports a single model, multiple models in parallel, or MoA hybrid output
NotebookLM integration
Connects NotebookLM as a research brain to build cross-session knowledge from the user's own sources
Box file management skills
Manage files, versions, search, and document data extraction in bulk using the user's permissions
What is Hermes Agent best for?
Logged-in web task execution
Browse with a real Chrome profile and complete web operations that require login
Best for：Individual users who need to automate web interactions
Research knowledge base building
Connect NotebookLM to link ideas across sources and reuse accumulated knowledge in tasks
Best for：Research-oriented individual users
Group chat and news scan alerts
Set up cron jobs to scan group chats or weekly news and extract specific mentions or information
Best for：Individual users who need daily information monitoring
Third-party key setup for Hermes Agent (APIMaster integration)
Setup steps
- 1Run hermes model and choose Custom endpoint, or edit ~/.hermes/.env directly.
- 2Enter the third-party API Base URL and set the corresponding API Key.
- 3In the model configuration, choose provider: custom and specify the model name to use or the default model.
- 4After saving, start a new session and send a minimal request to confirm that the current model is actually using your own endpoint and Key.
Config values
Base URL
https://apimaster.ai/v1API key environment variable
$APIMASTER_API_KEYModel
Your APIMaster model IDCommunity discussion
Discussion summary
Users generally understand Hermes Agent as an open-source personal AI agent developed by Nous Research, emphasizing persistent memory, self-improving skills, and local runtime capability rather than being a one-off chat tool. Discussion focuses on how to deploy and configure the agent for daily productivity automation, how to personalize it through model routing and skill generation, and how to make it accessible at any time through messaging platforms.
Most discussed topics
- 1
How do you deploy Hermes Agent on local hardware and connect different models?
Users often share installation steps for environments such as AMD Ryzen, Windows, or VPS, along with model endpoint configuration and experience running locally to avoid cloud dependency.
- 2
How does the agent create and reuse skills to handle repetitive tasks?
Users discuss ways for the agent to automatically generate reusable skills from tasks, and how accumulated skills enable long-term personalized improvement.
- 3
How can Telegram or Discord be used to provide persistent access to the agent?
Users share configuration steps for setting up messaging gateways and how to remotely call the agent from a phone for file organization or automated workflows.
- 4
How does Hermes Agent integrate with and compare to other agent frameworks such as OpenClaw?
Users explore compatibility with ecosystems such as Claude Code, as well as the advantages of using conversation data for model fine-tuning.
- 5
How can hidden features and tools in the agent be discovered and used?
Users exchange ways to explore features beyond the documentation, such as CLI commands, tool integrations, and creative suite applications.
FAQ
What is Hermes Agent?
It is a personal Agent project focused on tool calling and productivity workflows, and its capabilities may change by version.
Can it connect to APIMaster?
Until provider adapters and custom endpoints are confirmed by documentation or real-world testing, the status is unknown.
What should be checked before use?
First check the enabled tools, credentials, network access, and approval mechanisms for sensitive operations.
Similar agents
Sources：Official websiteGitHub
Last verified: 2026-08-29 · Report a correction