Hermes Agent: Open-Source Self-Improving AI (2026)
Hermes Agent is Nous Research's MIT-licensed self-improving AI agent, reaching 175K GitHub stars in 3 months. Self-hosted, model-agnostic, and free to use.
Hermes Agent is Nous Research's MIT-licensed autonomous AI agent that learns from your workflows, builds reusable skill files, and grows more capable over time. It runs on your own server, works with any LLM, and connects to 27+ messaging platforms. Best for self-hosting technical users. Free to use; model API costs apply. The fastest open-source agent to 175K GitHub stars.
Hermes Agent is Nous Research's open-source autonomous AI agent, released February 25, 2026, reaching 175K GitHub stars in under three months. It runs on your own server, uses any LLM (including Claude, DeepSeek, or local Llama models), and builds persistent memory and reusable skill files from your workflows. The agent connects to 27+ messaging platforms and exposes an OpenAI-compatible API. Free to self-host; Nous Portal Plus costs $20/month for 300+ hosted models.
Maker: Nous Research · Autonomy: semi autonomous · Maturity: GA
Underlying models: Model-agnostic: Claude Sonnet 4.6, DeepSeek V4, Llama 4 Maverick, Nous Hermes 4, Any OpenAI-compatible endpoint
About Hermes Agent
Hermes Agent is an open-source autonomous AI agent built by Nous Research, released on February 25, 2026, and reaching 175K GitHub stars in under three months, the fastest open-source agent project to hit that milestone. It is MIT-licensed, fully self-hosted, and model-agnostic: it works with any LLM including Claude, DeepSeek, local Llama models via Ollama, or any OpenAI-compatible endpoint. Unlike one-shot agents that reset after every session, Hermes builds persistent memory and reusable skill files from your actual workflows, getting measurably better the longer it runs. The defining capability of Hermes Agent is its built-in learning loop. When the agent detects a repeated task pattern across roughly 15 tasks, it automatically generates a Skill Document — a reusable workflow template it can apply to similar tasks in the future. Agents with 20 or more self-generated skills complete similar tasks 40% faster than fresh instances, according to community benchmarks. The agent stores all memory in a local SQLite database with no telemetry or cloud lock-in. It also exposes an OpenAI-compatible HTTP endpoint, so any frontend that speaks the OpenAI format (Open WebUI, LobeChat, LibreChat) can use Hermes as its backend with full tool access. Hermes Agent is a broad-purpose autonomous system with confirmed capabilities in code execution, web browsing, file management, and multi-platform messaging. It connects to 27+ messaging platforms including Telegram, Discord, Slack, WhatsApp, Signal, Microsoft Teams, and Google Chat through a unified gateway configuration. MCP (Model Context Protocol) support gives it access to external tool servers including GitHub, databases, Linear, and n8n without writing native Hermes code. Version 0.16.0, released June 5, 2026, added a native desktop app for macOS, Windows, and Linux with one-click install and concurrent multi-profile sessions. The agent is free to self-host with costs limited to LLM API calls (roughly $0.30 per complex task on budget models) and optional VPS hosting ($5-10/month for an always-on instance). Nous Research also offers a Nous Portal subscription at $20/month (Plus), which bundles 300+ hosted models and four core tools: web search, image generation, text-to-speech, and browser automation. A $0.10/month evaluation tier exists for testing. Infrastructure cost estimates range from $6-8/month for a budget setup using Hetzner and DeepSeek V4, to $30-80/month for a premium Claude Sonnet 4.6 deployment. Since its February 2026 launch, Hermes Agent has shipped 16 major versions in under four months, including v0.7.0 (pluggable memory providers, credential rotation, anti-detection browser), v0.11.0 (native interface redesign), and v0.15.0 (Windows beta, PyPI install, xAI Grok integration, Microsoft Teams support). Nous Research raised $50 million in a Series A led by Paradigm in April 2025, at a $1 billion token valuation, with earlier backing from Distributed Global, North Island Ventures, and Delphi Digital.
Pricing
Free to self-host (MIT license); you pay only LLM API costs (~$0.30/complex task on budget models) and optional VPS ($5-10/mo). Nous Portal $0.10/mo (evaluation) or $20/mo Plus tier (300+ hosted models, 4 tools bundled). Total monthly cost: $6-8 budget setup, $30-80 premium Claude Sonnet 4.6 stack.
Key Features
- Self-Improving Skill System: Generates reusable Skill Documents from repeated task patterns; agents with 20+ self-generated skills complete similar future tasks 40% faster than fresh instances.
- Persistent Cross-Session Memory: Stores all memory in a local SQLite database on your machine, with no telemetry or cloud dependency, so context accumulates permanently across sessions and reboots.
- 27+ Messaging Platforms: Connects as a gateway bot to 27+ platforms including Telegram, Discord, Slack, WhatsApp, Signal, Microsoft Teams, and Google Chat through a single unified configuration.
- Model Agnostic Runtime: Works with any LLM via any OpenAI-compatible endpoint: Claude, DeepSeek, Llama via Ollama, Grok via SuperGrok, Nous Hermes 4, and 300+ models via Nous Portal.
- MCP Tool Ecosystem: Connects to external tool servers via Model Context Protocol, giving the agent access to GitHub, databases, Linear, n8n, and any MCP-compatible service without native integration work.
- OpenAI-Compatible API Server: Exposes an OpenAI-compatible HTTP endpoint so any chat frontend (Open WebUI, LobeChat, LibreChat) can use Hermes as its backend with full tool access.
Strengths
- 175K GitHub stars in under three months (launched February 25, 2026), the fastest open-source agent framework to reach that milestone, indicating strong community adoption.
- Agents with 20+ self-generated skill files complete similar tasks 40% faster than fresh instances, a compounding productivity advantage not present in stateless agents.
- Full data privacy: all memory and skills live in a local SQLite database with no telemetry, no cloud lock-in, and zero reported agent-specific CVEs as of April 2026.
- Free to self-host with total infrastructure costs as low as $6-8/month on a budget VPS, versus $20+/month for comparable cloud-hosted agents.
Weaknesses
- 73% of every API call is fixed overhead (tool definitions at 8,759 tokens plus system prompt at 5,176 tokens), leaving only 27% of context budget for actual conversation.
- Requires a minimum 64K token context window, meaning models with smaller context limits are rejected at startup and cannot be used with Hermes at all.
- No native IDE integration: Hermes is not a coding copilot and provides no inline suggestions or Cursor-style autocomplete in any editor.
- Skills learned from one workflow domain do not transfer to different domains, meaning a skill from 'summarize a GitHub PR' will not help with 'plan a database migration.'
Frequently Asked Questions
What is Hermes Agent and what does it do?
Hermes Agent is an open-source autonomous AI agent built by Nous Research, released on February 25, 2026, and reaching 175,000 GitHub stars in under three months, making it the fastest-growing open-source agent project of 2026. It is MIT-licensed, fully self-hosted, and works with any LLM including Claude, DeepSeek, Llama, or any OpenAI-compatible model. Unlike stateless chatbots or one-shot agents, Hermes builds persistent memory and reusable skill files from your actual workflows, getting more capable the longer it runs. It connects to 27+ messaging platforms, executes code, browses the web, manages files, and operates as a persistent autonomous assistant across all sessions. The agent stores all data locally in a SQLite database with no cloud dependency and zero telemetry. Version 0.16.0 (June 2026) added a native desktop app for macOS, Windows, and Linux.
How much does Hermes Agent cost in 2026?
Hermes Agent is free to self-host under the MIT license; there is no charge for the software itself. Your actual costs are the LLM API calls and optional server hosting. A budget setup using Hetzner VPS and DeepSeek V4 costs approximately $6-8 per month total. A premium setup with Claude Sonnet 4.6 on a more powerful server runs $30-80 per month. For users who do not want to manage their own servers or LLM API keys, Nous Research offers Nous Portal subscriptions: a $0.10/month evaluation tier and a $20/month Plus tier that bundles 300+ hosted models with four built-in tools (web search, image generation, text-to-speech, and browser automation). Individual complex tasks cost roughly $0.30 on budget models when using API pay-as-you-go.
Is Hermes Agent fully autonomous?
Hermes Agent is semi-autonomous: it can execute long multi-step tasks, browse the web, run code, manage files, and message platforms without human input for extended periods. For sensitive or destructive actions, the default configuration requests approval before proceeding, keeping a human in the loop for high-risk steps. Advanced users can configure higher autonomy levels for fully unattended overnight runs. The self-improving skill system operates fully autonomously: every 15 or so tasks, the agent reviews its own performance and writes new Skill Documents without any human direction. The agent does not have a guardrails layer or output filtering by default, which means users are responsible for reviewing its outputs and setting appropriate permission boundaries.
What AI model powers Hermes Agent?
Hermes Agent is model-agnostic: it works with any LLM through any OpenAI-compatible API endpoint. Recommended models in 2026 include Claude Sonnet 4.6 for the best overall quality, DeepSeek V4 for cost-efficient deployments, and Llama 4 Maverick via Ollama for fully local, privacy-first setups. Nous Research also produces the Hermes 4 model family, fine-tuned versions of Meta's Llama architecture optimized for instruction following, function calling, structured JSON output, and agentic workflows. The Nous Portal Plus plan bundles access to 300+ models including frontier and open-source options. There is no mandatory tie to any single provider; users supply their own API keys or run local backends.
What are the main features of Hermes Agent?
The defining feature of Hermes Agent is its built-in learning loop: when the agent detects repeated task patterns, it automatically generates Skill Documents, producing a 40% speed improvement on familiar tasks once 20 or more skills are built. Persistent memory in a local SQLite database accumulates across every session without any cloud dependency. The agent connects to 27+ messaging platforms (Telegram, Discord, Slack, WhatsApp, Signal, Microsoft Teams, Google Chat, and more) through a single gateway configuration. MCP integration gives it access to GitHub, databases, Linear, n8n, and any MCP-compatible tool server. An OpenAI-compatible API server lets any chat frontend use Hermes as a local backend. The v0.16.0 desktop app (June 2026) added drag-and-drop files, inline model switching, and concurrent multi-profile sessions.
Is Hermes Agent free to use?
Yes, the Hermes Agent software is free and MIT-licensed with no feature gating or premium tiers in the core agent itself. You must supply your own LLM API keys or run a local model, and you pay only for those LLM calls and any server hosting you choose. The total monthly cost for a minimal always-on setup starts at $6-8 on a budget VPS. Nous Research's Nous Portal adds optional $20/month Plus subscriptions for users who want bundled hosted models and managed tools without configuring API keys manually. There is no free cloud-hosted tier that removes the need for your own infrastructure.
Who is Hermes Agent best for?
Hermes Agent is best suited for individual developers and privacy-conscious engineers who want a self-hosted persistent agent running on their own hardware with no data leaving their machines. It is particularly valuable for users managing workflows across multiple messaging platforms simultaneously, since its 27+ platform gateway is unique among open-source agents. Researchers and hobbyists exploring self-improving agent architectures benefit from the open codebase and active community. It is not a good fit for non-technical users who want a plug-and-play solution with no setup: the CLI installation, server configuration, and LLM API key management require intermediate technical skill. Teams needing SOC2 compliance, dedicated support, or SLAs should use enterprise-grade alternatives.
How does Hermes Agent compare to OpenClaw in 2026?
Hermes Agent and OpenClaw are the two most-starred open-source agents of 2026, but they are designed around different core ideas. Hermes is built around self-improvement: it builds a personal skill library from your workflows and grows more capable over time, with strong privacy guarantees and no telemetry. OpenClaw is built around universal connectivity: it prioritizes integrating with every external tool and service out of the box, hitting 370,000+ GitHub stars through broad appeal. On security, Hermes has zero reported CVEs as of April 2026, while OpenClaw faced a Koi Security audit that found 341 malicious entries in its skill repository and disclosed nine CVEs in March 2026. Hermes requires 64K context minimum; OpenClaw has no such restriction. For workflows needing a trusted, self-improving personal agent, Hermes wins; for maximum out-of-the-box integrations, OpenClaw is broader.