AI Agent Index
ByHeather MacAvelia·Independently reviewed·Published May 11, 2026·Updated Sep 21, 2026
Independently verified against live vendor data on Sep 17, 2026.

Open-source autonomous AI agent by Nous Research with a self-improving learning loop. Runs on your own server or as a desktop app, and remembers what it learns between sessions.

How we scored it

Autonomy

5/5

Integrations

5/5

Pricing clarity

5/5

Evidence

5/5

Setup

4/5

The facts

Hermes Agent is an open-source autonomous AI agent built by Nous Research, the lab behind the Hermes and Nomos open-source LLM families, released under the MIT license in 2026. It is not a coding copilot or a chatbot wrapper. It is a persistent agent that lives on your server, builds a growing knowledge of your projects and preferences across sessions, and gets more capable the longer it runs. The core differentiator is a closed learning loop: after completing complex tasks, the agent autonomously creates SKILL.md files that codify what it learned and improves those skills during future use. It uses full-text search with LLM summarization to recall relevant context from past sessions. A Honcho dialectic user model builds a structured understanding of your working style and preferences over time. Setup takes minutes using a single curl command on Linux, macOS, or WSL2. A desktop app is also available for macOS 12+, Windows 10/11, and Linux alongside the terminal CLI. The agent connects through a unified messaging gateway to Telegram, Discord, Slack, WhatsApp, Signal, Email, and additional platforms simultaneously: start a task from your laptop terminal and check progress on Telegram. Six terminal backends (local, Docker, SSH, Singularity, Modal, and Daytona) allow deployment anywhere from a $5 VPS to a GPU cluster, with serverless options that cost nearly nothing when idle. Built-in cron scheduling runs recurring tasks in natural language with delivery to any connected platform: daily briefings, nightly backups, weekly audits. Isolated subagents with their own terminals and Python RPC scripts enable parallel workstreams without sharing context windows. MCP integration connects the agent to any MCP-compatible server for extended tool capabilities. A web portal provides an additional interface for managing the agent. Hermes works with any LLM provider: Anthropic, OpenAI, Google, OpenRouter, Nous Portal, HuggingFace, or a locally hosted model via Ollama. The ecosystem includes a growing community skills library following the agentskills.io open standard. The GitHub repository has 248k stars. Autonomous rate is approximately 70 to 80 percent: scheduled tasks, skill creation, memory management, and routine workflows run fully without human initiation. Complex novel tasks and security-sensitive operations use a command-approval flow. There is no subscription, no telemetry, and no tracking. All data stays on your machine. Named gaps: CLI-first setup requires a server or VPS, terminal familiarity, and an LLM API key, though a desktop app is now available. Nous Portal also offers Hermes Cloud, a one-click hosted deployment with no servers to manage. The memory system uses character-limited files injected at session start rather than a vector database, requiring manual curation for very large memory contexts. Hermes Agent is not the right fit for non-technical users who cannot configure a Linux server environment. Self-hosting still requires comfort with terminal commands and API key management, though the desktop apps and Hermes Cloud remove much of that. Teams needing built-in cost controls on LLM API usage should monitor provider spending limits carefully, as the agent runs autonomously and will continue making API calls during scheduled tasks and multi-step workflows. Teams with simpler, single-session needs who do not require cross-session memory or multi-platform messaging may find lighter tools like Claude or ChatGPT sufficient without the server infrastructure overhead. Non-technical teams that want an agent built, deployed and hosted for them from a plain-language description should look at X-Agent. Current state as of Q3 2026: Hermes Agent has 248k GitHub stars. Releases ship on a roughly weekly cadence, and a yolo flag is available to bypass approval prompts for fully autonomous runs. A desktop app for macOS, Windows, and Linux and a web portal have been added alongside the original CLI, broadening accessibility. The project is fully open-source under MIT license with no paid tiers, no telemetry, and no subscription required. No G2 listing was found; the primary evidence signal is GitHub adoption.

Pricing

freemium · $20/mo

View pricing ↗

Segment

b2b

Setup

moderate

Verified

Sep 17, 2026

Transparency

Public

Contract

Month-to-month

Data training

Opt-out

Human in loop

Optional

Capabilities

autonomousworkflow-builderschedulingweb-searchcode-generationdata-analysisagentic-codingterminal-agentopen-sourcebyok

Pros & Limitations

Editorial assessment

Pros

  • ✓Self-improving learning loop with no manual upkeep: after each complex task the agent automatically creates and refines SKILL.md files so it never forgets how to solve recurring problems. The community skills ecosystem means most common workflows have a starting point without any user configuration.
  • ✓Can run entirely on infrastructure you control: self-host it with your own model API keys and no prompts or outputs leave your machine. That is a meaningful privacy advantage over SaaS agents for teams handling sensitive data, proprietary research, or regulated information.
  • ✓Large, actively maintained open-source project at 248k GitHub stars. MCP works in both directions, connecting to MCP servers and running as one, and cross-session memory carries across 30+ messaging platforms, a desktop app and cloud deployment.

Limitations

  • ⚠Technical setup: self-hosting needs a machine or VPS, comfort with a terminal, and a model API key. Desktop apps for macOS, Windows and Linux and a cloud deploy option remove some of that, but there is no fully hosted zero-setup version and configuration stays file-based.
  • ⚠No built-in cost controls on LLM API usage: the agent runs autonomously and will continue making API calls during scheduled tasks and multi-step workflows. This can generate unexpected token costs without careful monitoring of provider spending limits.
  • ⚠Memory system uses character-limited files injected as a frozen snapshot at session start rather than a vector database. This keeps the system lightweight and predictable but means very large or rapidly growing memory contexts require manual curation to stay within limits.

Technical Details

Deployment
clidesktopweb
Model architectureMulti-provider LLM (Nous Portal, OpenRouter, OpenAI, Anthropic, Ollama)
Avg setup timeNot published. Nous states no setup duration for self-hosting, which is a single install command or a desktop app download. The vendor says a Hermes Cloud agent is online in seconds.
Autonomous rateRuns unattended by default: the smart approval mode auto-approves low-risk shell commands, auto-denies genuinely dangerous ones, and prompts a human only on uncertain cases. Scheduled cron jobs, webhook and single-query sessions default to denying a dangerous command rather than waiting for a human, and a yolo mode disables approval checks entirely.
Integrations
TelegramDiscordSlackWhatsAppSignalEmailMicrosoft TeamsGoogle ChatMatrixMattermostIRCLINEDingTalkFeishuWeComQQSMSHome AssistantDockerSSHSingularityModal

Similar agents

Rating

5.0/ 5
★★★★★

Editorial score

How we score this →

Recognition

Rated 5.0 ★Category Leader · Q3 2026MCP Server VerifiedTransparent PricingListed 2026
Embed these on your site →

Built for

DevToolsOpen SourceSaaSStartupsB2B

Leave a review

Never displayed publicly.

Agent Stacks

See workflow stacks that feature Hermes Agent.

Compare

Related Content

Is this your tool?

Claim this listing free to get your embeddable badges, a review collection link, and the Claimed badge on your listing.

Claim listing →

Free · Every Two Weeks

AI Agent Price & Rating Tracker

Price changes, new agent launches, acquisitions, and rating updates across the AI agent market. Verified against live vendor data, not vendor marketing.

No spam. Unsubscribe anytime. We never share your email.