Bulk file and version management
Search, extract, and process cloud files and versions in bulk through Box skills
Кому підходить:Individual or team users of Box
Персональний Agent / Продуктивність
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.
Сайт створено
2023-03-22
Рейтинг використання токенів OpenRouter
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Джерела: OpenRouter
Унікальні відвідувачі на місяць
2.031M
Джерела: SimilarWeb

Coding Plan
Знижки на моделі Coding Pro
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.
Коротко
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.
Для чого використовується
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.
Кому підходить
AI builders and productivity users
Як це працює
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.
Тип продукту
Personal Agent
Ціни
Невідомо
Please verify pricing and hosting options against the current project documentation.
Інтеграція з APIMaster
Підтримується
Hermes model → Custom endpoint, or ~/.hermes/.env
Надійність даних
Низька
Остання перевірка: 2026-08-29
Uses a copy of the user's existing Chrome profile to perform web tasks with logged-in state
Provides a full desktop UI with multi-agent management, persistent memory, and autonomous workflows
Connect to 44+ services and data sources such as Box, Cloudflare, GitLab, and Datadog with one click
Supports a single model, multiple models in parallel, or MoA hybrid output
Connects NotebookLM as a research brain to build cross-session knowledge from the user's own sources
Manage files, versions, search, and document data extraction in bulk using the user's permissions
Search, extract, and process cloud files and versions in bulk through Box skills
Кому підходить:Individual or team users of Box
Browse with a real Chrome profile and complete web operations that require login
Кому підходить:Individual users who need to automate web interactions
Connect NotebookLM to link ideas across sources and reuse accumulated knowledge in tasks
Кому підходить:Research-oriented individual users
Set up cron jobs to scan group chats or weekly news and extract specific mentions or information
Кому підходить:Individual users who need daily information monitoring
Base URL
https://apimaster.ai/v1Змінна середовища API-ключа
$APIMASTER_API_KEYМодель
Ваш Model ID APIMasterПідсумок обговорень
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.
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.
Users discuss ways for the agent to automatically generate reusable skills from tasks, and how accumulated skills enable long-term personalized improvement.
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.
Users explore compatibility with ecosystems such as Claude Code, as well as the advantages of using conversation data for model fine-tuning.
Users exchange ways to explore features beyond the documentation, such as CLI commands, tool integrations, and creative suite applications.
It is a personal Agent project focused on tool calling and productivity workflows, and its capabilities may change by version.
Until provider adapters and custom endpoints are confirmed by documentation or real-world testing, the status is unknown.
First check the enabled tools, credentials, network access, and approval mechanisms for sensitive operations.
Джерела:Офіційний вебсайтGitHub
Остання перевірка: 2026-08-29 · Повідомити про виправлення