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Open Source Hermes Agent Alternatives

A curated collection of the 5 best open source alternatives to Hermes Agent.

The best open source alternative to Hermes Agent is OpenClaw. If that doesn't suit you, we've compiled a ranked list of other open source Hermes Agent alternatives to help you find a suitable replacement. Other interesting open source alternatives to Hermes Agent are: NanoClaw, OpenWork, Suna, and Rakazo.

Hermes Agent alternatives are mainly AI Personal Assistants but may also be AI Agent Platforms. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Hermes Agent.

Piotr Kulpinski's profile

Written by Piotr Kulpinski

A personal AI assistant that connects to your existing chat apps and handles real tasks like email, calendar, and flight check-ins on your behalf.

Screenshot of OpenClaw website

OpenClaw is a personal AI assistant built to take action. It doesn't just answer questions. It clears your inbox, sends emails, manages your calendar, and handles tasks like flight check-ins, all triggered through chat apps you already use every day.

The core idea is that you shouldn't need a new app to talk to your assistant. OpenClaw works through WhatsApp, Telegram, Discord, Slack, Signal, and iMessage, so you interact with it wherever you already spend time. No dashboard to open, no new habit to build.

It connects to a wide range of services out of the box:

  • Email and calendar via Gmail and similar tools, handling real actions, not just summaries
  • AI models including Claude and GPT, so you can route requests through your preferred backend
  • Productivity tools like Obsidian and GitHub for note-taking and code workflows
  • Smart home and media through Philips Hue and Spotify
  • Social and browser via Twitter and direct browser control

What sets it apart from most chat-based AI tools is the action layer. Many assistants can tell you what to do. OpenClaw does it. The integrations aren't read-only; it can send, create, update, and automate across connected services.

The project is open source and self-hostable, which matters if you're handing an assistant access to your email and calendar. You control where it runs and what it can reach. A companion menubar app is available for macOS users who want quick access without switching windows.

It's an independent project, not affiliated with Anthropic or any of the AI providers it connects to. That independence shows in the breadth of integrations rather than a walled ecosystem.

Self-hosted AI agent that connects to WhatsApp, Telegram, Slack, and a dozen more messaging apps, running each agent in an isolated Docker container with credential injection via a secure vault.

Screenshot of NanoClaw website

NanoClaw is a self-hosted personal AI agent built for individuals who want full control over their AI assistant. It connects to messaging apps including WhatsApp, Telegram, Discord, Slack, Microsoft Teams, iMessage, Matrix, Google Chat, Webex, WeChat, and email, then routes every conversation through isolated Docker containers. The codebase is intentionally small: 132 source files, roughly 17,500 lines of code, and fewer than 10 dependencies. You can read the whole thing in an afternoon.

It positions itself as a lightweight alternative to OpenClaw, which ships 3,680 source files and 70 dependencies. That size difference isn't cosmetic. It shapes whether you can audit what your agent actually does, customize it without fear, and trust its security model.

Security is structural, not policy-based. Each agent group runs in its own Linux container with its own filesystem. It can only see directories you explicitly mount. Credentials never enter the container at all. Outbound API requests route through OneCLI's Agent Vault, which injects authentication at the proxy level and enforces per-agent rate limits and policies.

Key capabilities:

  • Multi-channel messaging – WhatsApp, Telegram, Slack, Discord, Teams, iMessage, Matrix, and more, installed on demand with /add-<channel> skills
  • Flexible agent wiring – give each channel its own isolated agent, share one agent across channels for unified memory, or fold channels into a shared session
  • Per-agent workspaces – each agent group has its own memory, its own CLAUDE.md, and its own container boundary
  • Scheduled tasks – recurring jobs that run Claude and message you back (morning briefings, weekly reviews)
  • Multiple AI providers – runs Claude Code natively via the Claude Agent SDK; drop-in options for OpenAI Codex, OpenRouter, Google, DeepSeek, and local models via Ollama
  • Skills over features – install only the adapters you need; nothing is bundled that you didn't ask for

The architecture is a single Node.js host process that routes inbound messages through an entity model, writes to SQLite, and wakes per-session containers. No microservices, no message brokers, no shared memory across agent boundaries.

NanoClaw is MIT-licensed and designed to be forked. The philosophy is that your personal AI agent should be working software shaped to your exact needs, not a generic framework you configure around.

Desktop app for teams to run AI agents across 50+ LLMs, share skills and MCP servers org-wide, and automate browser tasks with your own keys.

Screenshot of OpenWork website

OpenWork is a desktop app (and browser-based workspace) that lets individuals and teams run AI agents against their own files, tools, and data. It's built on OpenCode and positions itself as an open alternative to Claude Cowork, supporting 50+ LLMs from providers like OpenAI, Anthropic, Google, Mistral, and local models, rather than locking you to a single vendor.

The core idea: bring your own API keys, wire in the tools your team already uses, and package everything into reusable setups that anyone can import in one click. No terminal required.

Key capabilities:

  • Multi-model support – switch between OpenAI, Anthropic, Gemini, Bedrock, Azure AI Foundry, Mistral, OpenRouter, or local models. Connect your own keys or use a managed provider on cloud plans.
  • Browser automation – describe a task in plain language and the agent executes it in a real browser. Like replies, extract data, fill forms, and save results to your machine.
  • OpenWork Connect (MCP gateway) – add an MCP server or skill once, and every teammate gets it instantly across desktop, web, and any MCP-compatible client like Claude Code or Cursor. One URL covers your whole org, with auth, roles, and policies applied in transit.
  • Skill and plugin sharing – Anthropic-compatible plugins and SKILL.md files work as-is. Teams package skills, configs, and MCP servers into a single shareable link.
  • Local-first privacy – in desktop mode, files stay on your machine. Prompts go directly to the LLM provider you choose. Cloud workers are optional and sandboxed.
  • Self-host or managed – run it on your own infrastructure or use OpenWork Cloud for central seat management, SSO, and bring-your-own inference.

For teams migrating from Claude Cowork, existing SKILL.md files and MCP servers import without modification. The free desktop app needs no account to start. Team plans add API access and the Extension Marketplace at $10 per seat per month after the first five free seats.

Open source AI assistant that executes complex tasks from market research to travel planning through natural conversation, with full transparency and community-driven development.

Screenshot of Suna website

Suna is a groundbreaking open source AI agent that serves as your digital employee, capable of handling a wide range of real-world tasks through natural conversation. From conducting detailed market research and competitor analysis to planning trips and automating prospecting, Suna operates with remarkable autonomy.

Built with transparency and community collaboration at its core, Suna operates under the Apache 2.0 license, making it fully open source and customizable. The platform offers flexible pricing tiers starting from a free plan with 10 minutes monthly usage to custom plans with 6+ hours, making it accessible for individual users and teams alike. Notable features include:

  • Autonomous task execution across multiple domains
  • Advanced data gathering and analysis capabilities
  • Full source code transparency and auditability
  • Active developer community and continuous improvements
  • Flexible deployment options (cloud or self-hosted)

The platform excels at complex data gathering and analysis, demonstrated through capabilities like scraping conference sites for speaker information, cross-referencing scientific papers, and generating comprehensive reports. Its versatility extends to practical business applications including SEO analysis, lead generation, and personalized outreach campaigns.

Run persistent AI bots that sign into your tools, complete tasks autonomously, and ask for approval when needed. Your keys, your model, your infrastructure.

Screenshot of Rakazo website

Rakazo is a self-hosted platform for running AI agents that actually do things. Each bot gets a sandboxed browser and shell, signs into your tools the way you would, and completes tasks while you're away. It's a direct Grok Bot alternative built around one principle: you own everything.

Bots run in Docker on your own machine, behind your firewall. Sessions and credentials never leave your infrastructure. You point each bot at whatever model you want (Claude, GPT, Grok, or a local model), and you can mix and match per bot. The cheap model triages; the smart one writes.

Setup starts with an interview. A new bot asks you a few questions about the work, your writing style, and which tools it should use. Then it gets going.

What bots can handle out of the box:

  • Inbox Manager archives noise, replies to routine threads, and parks drafts for your review
  • Sales Outbound researches accounts overnight, scores intent, and drafts outreach in your voice
  • Talent Scout reads applicants, shortlists against your criteria, and writes intro emails
  • Bug Triage reproduces reports in a real browser and attaches reproduction steps to the issue
  • Expense Manager matches receipts to charges and files reports, asking before guessing
  • Chief of Staff runs briefings, bookings, and handoffs between your other bots

Routines are saved as plain Markdown. Show a bot a workflow once and it writes a routine you can read, edit, and commit to version control. Approvals are configurable: set what a bot may do alone and what it must ask you about first. Every action lands in an audit log you own.

Rakazo is Apache-2.0 licensed with no seats, no pricing tiers, and nothing gated. Unlimited bots, no limits on usage. A managed cloud option (where you bring your own keys and they run the sandboxes) is planned, with no migration required when it arrives.

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