
Hermes Agent
by Hermes Agent · Open-source desktop agent with shared memory across chat platforms
BenchRank score
Screenshots of Hermes Agent
Homepage
Overview
Hermes Agent is an MIT-licensed agent from Nous Research, installed as a native app on macOS, Windows or Linux or through a terminal script. It connects to Telegram, Discord, Slack, WhatsApp, Signal, email and the CLI with a single shared memory. It also schedules tasks in natural language, runs isolated subagents, searches the web, and executes code in local, Docker, SSH, Singularity or Modal sandboxes.
- Best for
- Individuals wanting an open-source desktop agent they can reach from chat apps and the terminal
- Pricing
- No prices are shown; the site lists Free, Plus, Super and Ultra tiers, with all paid tiers including monthly credits and access to 300+ models.
- Runs on
- macOSWindowsCLI
Strengths and trade-offs
Strengths
- MIT licensed, with native builds for macOS, Windows and Linux
- One agent and one memory across Telegram, Discord, Slack and CLI
- Five sandbox backends: local, Docker, SSH, Singularity and Modal
- Subagents, scheduling and browser automation are built in
Trade-offs
- No prices published for the Plus, Super or Ultra tiers
- Version 0.19.1, so pre-1.0 and subject to change
- Model access beyond the free tier depends on paid Nous Portal credits
How Hermes Agent markets itself
A structured read of the promise, proof and page design on Hermes Agent’s captured homepage.
Homepage capture
“THE AGENT THAT GROWS WITH YOU”
- Angle: Outcome / benefit-led
- Hero: Illustration
Pricing
Published plans and prices from Hermes Agent’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
This doesn’t look right — report a problem with Hermes Agent’s score
Where this comes from
The Hermes Agent pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
Alternatives in AI Development Platforms
Ranked 1
85.5 — BenchRank score out of 100Mem0
Mem0 · Hosted memory layer for AI agents, with Python and Node SDKs
Best for: Developer teams adding persistent memory to AI agents through a hosted API, with a free tier
Ranked 2
83.7 — BenchRank score out of 100Nango
Nango · Code-first integration platform covering 900+ APIs
Best for: Product teams building many third-party API integrations into a SaaS product or AI agent
Ranked 3
81.4 — BenchRank score out of 100Supermemory
Supermemory · Memory and retrieval layer for AI agents
Best for: Developers giving AI agents persistent memory and retrieval through a single hosted API.
Is this your product?
Claim Hermes Agent to manage its profile. Claiming lets you suggest edits to the descriptive fields — it never changes scores or rankings.


