Hermes Agent

Hermes Agent is Nous Research's MIT-licensed autonomous...

7.3/10 Useful

Active

Monthly Free (MIT license Annual BYOK API costs)

Best plan

Free (MIT license

Risk: Hermes Agent is powerful but operator-owned: buyers need...

Try Hermes Agent

Editorial · no paid placements

Should you use it?

Hermes Agent is Nous Research's MIT-licensed autonomous agent. Current GitHub releases show v0.17.0 from June 19, 2026, and the GitHub API showed 202K+ stars on June 25. It runs as a persistent server, now has a desktop app surface, connects CLI plus messaging platforms, and can use six terminal backends: local, Docker, SSH, Daytona, Singularity, and Modal. Persistent memory, auto-written skills, background subagents, natural language cron, image editing, and optional Nous Portal tool/model routing are the differentiators. Free to self-host; bring your own API keys or use a Nous Portal subscription.

Buy if Developers wanting a self-improving self-hosted agent
Pick Free (MIT license; BYOK API costs)
Skip if Non-technical users wanting plug-and-play agents

Plan guidance

What to buy

Best plan Free (MIT license; BYOK API costs)

Watch: Hermes Agent is powerful but operator-owned: buyers need...

Price range Free (MIT license; BYOK API costs)

Free

Upgrade only if Not for non-technical users wanting plug-and-play agents

Hermes Agent is powerful but operator-owned: buyers need...

Current pricing source: Hermes Agent GitHub releases

Fit

Use it for this, skip it for that

Best for

Developers wanting a self-improving self-hosted agent
Scheduled AI tasks delivered to messaging apps
Teams comfortable with Docker or Modal deploys
Privacy-first deployments with no data egress

Avoid if

Non-technical users wanting plug-and-play agents
Teams needing IDE-integrated coding assistance
Workflows where managed cloud uptime is required

Watch out: Hermes Agent is powerful but operator-owned: buyers need comfort managing providers, credentials, tool permissions, dashboard exposure, background subagents, and long-running agent behavior.

Recent changes

Only what affects the decision

Jun 25, 2026
Open-source
Reverified v0.17.0 as latest, MIT/open-source posture, and no mandatory...
Hermes Agent GitHub releases
Jun 23, 2026
Open-source
Reverified MIT/open-source posture and v0.17.0 release from June 19, 2026. Real spend remains model/API providers, optional Nous Portal subscription, hosting, and connected tools
Hermes Agent GitHub releases
Jun 2, 2026
Open-source
June 2 snapshot, rechecked on June 23 after v0.17.0...
Hermes Agent official site

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Build comparison

Proof and score math Verified Jun 25

Proof

Why this recommendation is trusted

Evidence Hermes Agent official site

Source: Registered source
Freshness: Current
Confidence: High confidence
Verified: Jun 25, 2026
Review: Sep 23, 2026
Volatility: Volatile

High-volatility evidence needs frequent review.

Editorial score

Unweighted average of 4 axes · confidence high

Utility 8/10

How much real work it can do for a competent operator, end to end.
Value 10/10

What you get for the dollar relative to the closest alternative.
Moat 4/10

How hard it would be for a competitor to replicate the underlying advantage.
Longevity 7/10

How likely the product is to still be best-in-class 24 months out.

Verified facts

Best For Best for builders who want an open-source personal/ops agent with persistent memory, skills, scheduled jobs, and messaging integrations rather than a single hosted SaaS assistant.
high Drifts 2026-06-25 Hermes Agent official site
Pricing Anchor Hermes Agent is MIT-licensed open-source software; real cost depends on the LLM/API providers, optional Nous Portal subscription, hosting, sandbox backend, and messaging services connected to it.
high Drifts 2026-06-25 Hermes Agent GitHub repository
Watch Out For Hermes Agent is powerful but operator-owned: buyers need comfort managing providers, credentials, tool permissions, dashboard exposure, background subagents, and long-running agent behavior.
high Drifts 2026-06-25 Hermes Agent docs
Api Available Docs cover the setup and extension path for an agent runtime, including tools, skills, scheduling, provider configuration, terminal backends, messaging gateway setup, MCP, and Nous Portal tool routing.
high Drifts 2026-06-25 Hermes Agent docs
Open Source Or Local The repository is public and designed for self-hosted or user-controlled agent operation.
high Drifts 2026-06-25 Hermes Agent GitHub repository

Open Source Recent activity

3 weeks agolast commit

Full review notes Long-form details, FAQ, and source history

Free, MIT-licensed autonomous AI agent from Nous Research (hermes-agent.nousresearch.com). Runs as a persistent server on user infrastructure and connects a CLI plus 15+ messaging platforms from a single gateway.

Three features set it apart from a standard chatbot: persistent memory across restarts, auto-generated skills that the agent writes and refines from experience, and natural language cron scheduling that delivers recurring output to any connected platform.

As of June 25, 2026, the official GitHub release stream is still v0.17.0 from June 19. The current docs and README describe a broader platform surface than the early spring build: messaging platforms, six terminal backends, MCP support, background subagents, image editing through image_generate, and a Tool Gateway through Nous Portal. Provider switching spans Nous Portal, OpenRouter, OpenAI, Anthropic-compatible routes, NovitaAI, NVIDIA NIM, z.ai/GLM, Kimi/Moonshot, MiniMax, Hugging Face, and custom endpoints.

Recent developments

June 25, 2026: GitHub API providers, optional Nous Portal, hosting, terminal backends, and connected services.
June 19, 2026: v0.17.0, the Reach Release, added iMessage via Photon, a Raft agent-network adapter, background subagents via delegate_task(background=true), image-to-image editing in image_generate, dashboard profile building, Skills Hub browsing, a memory-tool upgrade, secure dashboard-login fixes, and an official WhatsApp Business Cloud API adapter.

System Verdict

Pick Hermes Agent if a self-hosted assistant that actually remembers and improves is worth setup time. The agent writes procedural skills after multi-step tasks, stores them for reuse, and keeps full-text searchable memory across sessions. Nothing in the managed-SaaS category behaves this way.

Six terminal backends cover most deploy patterns as of the current docs: local, Docker, SSH, Daytona, Singularity, and Modal. Daytona and Modal are the serverless/persistent options for agents that should hibernate between conversations.

Skip it if the user wants plug-and-play. There is no managed cloud. Setup means env vars, Docker, a model API key, and at least one platform integration. ChatGPT or a hosted Zapier agent will be faster to stand up.

Who pays what: route, optional Nous Portal subscription, hosting, and tool providers. Light self-hosted use can be cheap, but always-on agents, browser tools, image/TTS tools, and frontier-model-heavy workflows need spend limits.

Key Facts


License	MIT open-source (Nous Research)
Released	February 2026
Current version	v0.17.0 release stream (verified June 25, 2026)
GitHub stars	202K+ (GitHub API, checked June 25, 2026)
Deployment	Self-hosted/local or user-controlled infrastructure (local, Docker, SSH, Daytona, Singularity, Modal)
Platforms from one process	CLI plus Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Mattermost, Email, SMS, DingTalk, Feishu, WeCom, BlueBubbles, Home Assistant, Microsoft Teams, and more as docs evolve
Model/providers	Nous Portal, OpenRouter, NovitaAI, NVIDIA NIM, Xiaomi MiMo, z.ai/GLM, Kimi/Moonshot, MiniMax, Hugging Face, OpenAI, and custom endpoints
Persistent memory	Full-text searchable across sessions and platforms
Auto-generated skills	Yes, after multi-tool-call tasks
Scheduling	Natural language cron (“daily digest at 7am”)
Serverless hibernation	Modal backend

Every data point above was verified against vendor documentation and GitHub releases on 2026-06-25. See Sources.

What it actually is

A persistent daemon that bridges chat platforms to a large language model and a sandboxed execution environment. The daemon owns memory, scheduling, and the skill library. The model is swappable via config.

Memory is the core primitive. Conversations, user profiles, and learned skills persist across restarts and cross-reference across platforms. A Telegram message can reference a skill written during a CLI session last week.

The skill system is emergent, not pre-authored. After a multi-step task (typically five or more tool calls), the agent can write a structured document capturing the procedure, known pitfalls, and verification steps. That document becomes callable later.

When to pick Hermes Agent

Recurring AI tasks should land in Telegram, Slack, or Discord. Natural language cron handles the schedule; the platform bridge handles delivery.
Memory across weeks matters. The agent accumulates context on projects, preferences, and past outputs. This is the missing feature in stateless SaaS assistants.
Self-hosting is a requirement. Data stays on user-owned infrastructure. No telemetry, no cloud.
Model lock-in is unacceptable. Provider is a config swap: OpenAI, Anthropic, OpenRouter, Nous Portal, or a custom endpoint.
Parallel subagents for concurrent work. Spawn isolated subagents with independent terminal sessions; useful for pipeline-style tasks.

When to pick something else

IDE-integrated coding help: Claude Code or Cursor. Hermes is a conversational assistant, not a codebase editor.
Zero-setup managed agent: ChatGPT Agent Mode or a hosted Zapier workflow. No server, no Docker.
Browser-first autonomous tasks: Goose or an Operator-style product. Hermes has browser automation but focus is chat-delivered workflows.
Image or video generation: Hermes has image gen, but dedicated tools like Midjourney and Veo 3 do better work.
Strict enterprise audit and SSO: No managed-tenant option; compliance-heavy teams need a vendored platform.

Pricing

Component	Cost
Hermes Agent (self-hosted)	Free, MIT license, full feature set
Model/API route	Usage-based BYOK, or optional Nous Portal subscription for model/tool routing
Daytona or Modal backend	Usage-based/serverless-style persistence. Can hibernate when idle, but operators still need spend and permission controls

Verified 2026-06-25 via the official site/docs and GitHub repository/releases. No mandatory subscription; Nous Portal is optional infrastructure for model/tool routing.

Against the alternatives

	Hermes Agent	AutoGen	Goose	ChatGPT Agent Mode
License	MIT	MIT	Apache-2.0	Proprietary
Persistent memory	Yes, full-text searchable	No, session-only	No built-in	Limited, snippet-based
Auto-written skills	Yes	No	No	No
Multi-platform chat bridge	Yes, 6+ platforms	No	No	No
Natural language cron	Yes	No	No	No
Self-host	Required	Yes	Yes	No
Managed cloud	No	No	No	Yes
Best viewed as	Personal ops daemon	Research framework	CLI agent with MCP	Consumer chat agent

Failure modes

Self-hosted only. No managed cloud means the operator owns uptime, updates, and security patches.
Setup is not plug-and-play. Platform bridges, terminal backend, model route, tool permissions, and optional Portal setup all need configuration. Comfortable with Docker or server setup is the baseline.
API costs are unbounded by default. No built-in spend caps. A runaway skill, background subagent, image-editing workflow, or frontier-model route can burn through credits fast.
Version churn. Early-stage project; breaking changes to config format have shipped between releases.
Low moat. MIT license plus open architecture means forks are trivial. Differentiation depends on Nous Research staying active.
No IDE integration. Not a coding assistant for in-editor flows.
Memory can drift. Full-text search is useful but does not reason about contradictions; stale facts persist until curated.
Smaller ecosystem than OpenClaw. Fewer community skills and templates to crib from.

Methodology

This page was produced by the aipedia.wiki editorial pipeline, an automated system that ingests vendor documentation, verifies product details against primary sources, and generates the editorial analysis shown. No individual human wrote this review. Scoring follows the four-dimension rubric at /about/scoring/ (Utility x Value x Moat x Longevity, unweighted average). Last verified 2026-06-25 against the Hermes Agent docs, GitHub repository, GitHub releases, and Nous Research.

FAQ

Is Hermes Agent free? Yes. MIT license, full feature set in the open-source release. The only cost is whatever model API the operator configures.

Which models work? Nous Portal, OpenRouter, NovitaAI, NVIDIA NIM, Xiaomi MiMo, z.ai/GLM, Kimi/Moonshot, MiniMax, Hugging Face, OpenAI, and custom endpoints are listed in the current GitHub README. Switching is a config/model selection change.

What makes it different from a Telegram bot? Persistent cross-session memory, auto-generated skills that the agent writes from experience, natural language cron scheduling, and a single process that bridges Telegram, Discord, Slack, WhatsApp, Signal, Email, and CLI.

Which sandbox backends ship? Six in the current docs/README: local, Docker, SSH, Daytona, Singularity, and Modal. Daytona and Modal are the serverless/persistent options that can hibernate when idle.

Who builds Hermes Agent? Nous Research, an AI research lab focused on open-weight models and agent architectures. Hermes Agent ships under the same org that publishes the Hermes model series.

Sources

Hermes Agent official site: feature overview, platform list, setup docs
Hermes Agent GitHub: MIT license, codebase, release notes, GitHub API activity snapshot
Nous Research: lab background, Hermes model series
Hermes Agent docs: sandbox backends, scheduling syntax

Category: AI Automation

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aipedia.wiki Editorial. (2026). Hermes Agent: Editorial Review. aipedia.wiki. Retrieved July 2, 2026, from https://aipedia.wiki/tools/hermes-agent/

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@misc{hermes-agent-editorial-review-2026,
  author = {{aipedia.wiki Editorial}},
  title = {Hermes Agent: Editorial Review},
  year = {2026},
  publisher = {aipedia.wiki},
  url = {https://aipedia.wiki/tools/hermes-agent/},
  note = {Accessed: 2026-07-02}
}

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