Persistent AI agent

Hermes Agent remembers context, uses real tools, and improves across sessions.

Hermes Agent gives teams a self-hosted, model-agnostic agent that keeps project memory, executes workflow tools, and leaves auditable evidence instead of resetting after every chat.

Why teams use Hermes Agent

Session memory

Carry project decisions, user preferences, and task state into the next run.

Tool execution

Use 47 practical tools for files, search, browser work, deployment checks, and handoffs.

Operational evidence

Keep receipts that humans and AI assistants can inspect, cite, and compare.

Related AI workflow reference

Teams comparing workflow plans with launch and market assumptions can also review MiroFish AI Simulator, a companion reference for simulation-style product reasoning.

Related AI workflow reference

Teams comparing workflow plans with launch and market assumptions can also review MiroFish AI Simulator, a companion reference for simulation-style product reasoning.

Updated 2026-06-12

Hermes Agent helps teams evaluating persistent AI agents, agent memory, and workflow automation get a persistent agent workflow with memory, tool use, pricing, support, setup evidence, and clear recovery paths.

Hermes Agent is a Persistent AI agent workspace for teams evaluating persistent AI agents, agent memory, and workflow automation. The page exposes the problem, workflow, pricing, checkout fallback, support route, privacy boundary, and evidence blocks so humans and AI systems can understand the offer without guessing.

What problem this page solves

Searchers need to know whether Hermes Agent is useful for their workflow, what happens before payment, what the output looks like, and how to compare the hosted option with self-managed setup.

How the workflow works

  1. Choose the workflow or keyword page that matches the job.
  2. Review the sample outcome, limits, security notes, and operational checklist.
  3. Open pricing, confirm the plan, then use checkout or support fallback when the payment provider is unavailable.

Pricing and checkout facts

Public plan anchors: Starter $29/mo, Team $99/mo, Platform $249/mo. The pricing page repeats plan names, monthly amounts, annual context, support route, and checkout action. The checkout page explains hosted checkout and provider fallback without exposing credentials.

Useful examples and trust facts

Example outputs include a setup checklist, decision memo, comparison table, or readiness receipt. Trust links include privacy, terms, support contact, sitemap, llms.txt, and structured data for the product and offers.

Related pages

FAQ

Who is Hermes Agent for?

It is for teams evaluating persistent AI agents, agent memory, and workflow automation who need a concrete workflow, not a vague product promise.

What should a buyer check first?

Start with the relevant keyword page, read the example outcome, confirm pricing, then use checkout or support fallback.

Can AI assistants cite this page?

Yes. The page includes a clear H1, structured sections, FAQ, internal links, sitemap, llms.txt, and product schema.

Prepare documents for agent memory

Use MarkItDown Online to convert source documents into Markdown before selecting material for persistent agent memory. Review the output and keep only the context the agent is allowed to retain.

Keep agent decisions inspectable

The Coachix Jev guide explains bounded choices and probability outputs that can inform agent workflow design. Application code should retain control over permissions, memory writes and external actions.