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hermes-agent

Free

The agent that grows with you

4.4
56 9,923
Model APIsFreeFree tier
Inputs: text, image, url, codeOutputs: text, image, audio
Type
Open Source
Company
Nous Research
Visit Website GitHub (130.6k stars)

About hermes-agent

Hermes Agent is an open-source autonomous AI agent developed by Nous Research that runs on user servers, designed to grow more capable over time through persistent memory and auto-generated skills. Unlike IDE-tethered coding copilots or single-API chatbots, it operates independently, learning from projects and retaining solutions to problems. Users install it via a simple curl script and configure it with a setup command, enabling deployment across various platforms including Telegram, Discord, Slack, WhatsApp, Signal, Email, and CLI, with support for additional platforms in development.

Key capabilities include natural language-based scheduled automations for tasks like reports, backups, and briefings; delegation to isolated subagents that handle parallel tasks with their own conversations, terminals, and Python RPC scripts; and robust sandboxing across backends such as local, Docker, SSH, Singularity, and Modal, featuring container hardening and namespace isolation. It also provides full web browser control for web search, automation, vision processing, image generation, text-to-speech, and multi-model reasoning. This makes it suitable for developers, teams, and individuals seeking a self-hosted, evolving agent for automation and task management without relying on cloud services.

Key Features

Multi-platform integration including Telegram, Discord, Slack, WhatsApp, Signal, Email, and CLI
Persistent memory and auto-generated skills for long-term capability growth
Natural language scheduled automations for unattended tasks
Isolated subagents for parallel task delegation with dedicated terminals and Python RPC
Sandboxing backends like local, Docker, SSH, Singularity, and Modal with isolation
Web browser control supporting search, automation, vision, image generation, text-to-speech, and multi-model reasoning
Open-source under MIT License with easy installation via curl script

Pros & Cons

Pros
  • Open-source MIT license appears to allow free self-hosting without subscription costs
  • Runs on user-controlled servers for privacy and customization
  • Supports multiple communication platforms for flexible access
  • Grows capabilities through persistent learning and memory
  • Offers secure isolation and diverse backends for safe task execution
  • Includes multimodal features like vision, image generation, and text-to-speech
Cons
  • Requires server setup and technical knowledge for installation and configuration
  • Performance depends on user's hardware and server resources
  • Platform support is growing but may not cover all desired integrations yet
  • Self-hosted nature means no managed cloud scaling or support
  • Exact limits on concurrent subagents or memory usage should be verified in docs

Best For

Self-hosted personal automation for daily reports and backups via natural language schedulingTeam collaboration and task management across chat platforms like Discord and SlackComplex workflow delegation using subagents for parallel processing of projectsSecure execution of code and scripts in isolated sandboxes for development testingWeb-based tasks such as automated browsing, data extraction, image generation, and TTS briefings

Alternatives to hermes-agent

AutoGPT

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FAQ

Is Hermes Agent free to use?
It appears to be fully free as an open-source project under MIT License; no pricing is mentioned on the homepage
What platforms does it support?
Based on available information, it supports Telegram, Discord, Slack, WhatsApp, Signal, Email, CLI, and a growing list; full compatibility should be checked in docs
How does it handle security?
It provides real sandboxing with backends like Docker and SSH, including container hardening and namespace isolation; details should be verified in the documentation
Can it generate images or handle audio?
Homepage indicates support for image generation and text-to-speech via web browser control; capabilities may depend on configured models
Is it easy to install?
Installation uses a simple curl command followed by setup; users should review the script and docs for their environment
Does it require internet access?
Features like web search and browser control suggest internet is needed for some functions, but it runs locally on servers