Ross ROSS = Recommend OSS · open-source software intelligence for agents

Hermes Agent

The agent that grows with you observed · 2026-10-18

github.com/NousResearch/hermes-agent · homepage · Python · MIT (permissive) observed · 2026-10-18

Health v2 · maintenance only

86/100

  • Activity 100
  • Release rhythm 99
  • Longevity 32
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 4.0
  • age_days: 455
  • days_rel: 5
  • days_push: 3
  • n_releases_24m: 41

Full methodology

Adoption not part of the score

254714 stars · 55369 forks observed · 2026-10-18

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.97

Hermes Agent is an open‑source autonomous AI agent that runs on the command line or as a native desktop app. It continuously learns from interactions, creates and refines skills, and can be accessed from many messaging platforms.

Use cases

  • Create a personal AI assistant that remembers my projects and preferences across sessions.
  • Automate routine tasks like backups, reports, or data fetching via natural‑language scheduling.
  • Interact with the agent from Telegram, Discord, or Slack while it runs on a cheap VPS.
  • Run complex multi‑step workflows using sub‑agents and Python RPC scripts without leaving the terminal.
  • Search the web, generate images, or transcribe voice memos using built‑in tool integrations.

When to choose

  • You need a self‑improving AI assistant that can run on low‑cost cloud or local hardware.
  • You want a single agent that works across CLI, desktop GUI, and multiple messaging platforms.
  • You prefer an open‑source solution with plugin support to extend functionality.

When to avoid

  • You require a tightly integrated IDE copilot rather than a standalone agent.
  • You need enterprise‑grade security certifications or proprietary model lock‑in.
  • Your workflow depends on heavy GPU inference on‑premise without container support.

Facets

application · maturity active

agent-framework cli gui chat-interface scheduling web-scraping search-engine plugin-system artificial-intelligence large-language-models chatbots windows cli serverless self-improving persistent-memory multi-platform telegram-integration discord-integration slack-integration whatsapp-integration signal-integration email-integration skill-creation ai-agents linux macos desktop docker

5 sources

Member repositories

For agents

markdown · JSON · MCP: product_card(name="NousResearch/hermes-agent")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem