Hermes Agent vs Langflow

Hermes Agent and Langflow are free and MIT-licensed, but one is an agent and the other is a toolkit for making them. Hermes Agent is a ready-to-run personal agent from Nous Research: you install it, give it a model, and talk to it from a terminal or Telegram, and it remembers you between sessions. Langflow is a visual editor where you drag components onto a canvas to build your own agent or RAG pipeline, then serve it as an API or MCP server. Use Hermes if you want an assistant; use Langflow if you're building one into a product.

What you end up with

With Hermes you get one agent that keeps memories, searches its past sessions, writes reusable skills after hard tasks, runs scheduled jobs from a built-in cron, and can spawn subagents for parallel work. You reach it from the CLI or a single gateway for Telegram, Discord, Slack, WhatsApp and Signal.

With Langflow you get whatever you build. A flow can be a document Q&A bot, a multi-agent setup or a tool for another agent. You can call it as an API, export it as JSON for a Python app, or deploy it as an MCP server so tools like Claude Desktop can use it.

Installing each

Hermes installs with a one-line script on Linux, macOS or WSL2, a PowerShell line on native Windows, or an APT repo on Android through Termux. Its commands can run locally or in Docker, over SSH, or in Daytona, Singularity, Modal or Vercel Sandbox. The latest release is v0.22.2 (15 October 2026).

Langflow needs Python 3.10 to 3.14 and installs with uv (uv pip install langflow), runs from a Docker image, or comes as Langflow Desktop for Windows and macOS. The site also offers a free cloud account. Latest release: v1.12.6 (13 October 2026).

Costs that aren't the software

Neither charges for the code. With Hermes, the bill is your model provider (Nous Portal, OpenRouter, OpenAI or your own endpoint) plus a server if you want it running all day. With Langflow it's the model APIs, vector database and hosting your flows call.