Hermes Agent Alternatives: 7 Agents Checked for Import, Local Models and Approvals (2026)

The best Hermes Agent alternatives in October 2026 are Atomic Agent, OpenClaw, Goose, Moltis, NanoClaw, ZeroClaw and Nanobot. All seven are open source and shipped a release in the last 90 days. For each we checked what it imports from Hermes Agent, how it runs local models, which chat apps it reaches, how it gates risky actions and what it reports home.

We build Atomic Agent, so it sits first, checked against its code at v0.6.10. Everything else was checked on October 23, 2026, with links so you can verify it.

Quick answer: which Hermes Agent alternative should you pick?

Pick by the one thing Hermes does not give you. Stay on Hermes if its learning loop is why you use it.

If you are also weighing OpenClaw itself, our Hermes vs OpenClaw comparison goes deeper on those two.

Why people look beyond Hermes Agent

Hermes is popular for good reasons. It creates skills from experience, improves them while you use them and searches its own past sessions. It has six built-in terminal backends (local, Docker, SSH, Modal, Daytona and Vercel Sandbox), reaches Telegram, Discord, Slack, WhatsApp, Signal and email from one gateway, and its FAQ says it does not collect telemetry.

It also closed two gaps this month. The v0.22.0 release in mid-October 2026 added one-click local models: Hermes installs llama.cpp for your hardware and picks a model that fits your GPU and RAM. There is also an official Hermes Desktop for macOS, Windows and Linux. If you were leaving for either reason, update first.

The reasons that still hold are narrower:

• The context floor. Hermes’ provider docs say it “requires at least 64,000 tokens of context for agent use with tools. Smaller windows are rejected at startup.” On a small GPU, a 64K window can leave little memory for the model itself.
• The footprint. The installer brings Python 3.14, Node.js, npm, ripgrep and FFmpeg, and the v0.22.0 notes put the source at about 698K lines. That is a lot to audit.
• The approval model. In the default smart mode, an auxiliary model auto-approves low-risk commands and auto-denies clearly dangerous ones, and only uncertain cases reach you, per its security docs. Some people want to see every action.
• Isolation is opt-in. The default backend is local, so commands run on your host.
• Reach or license. Some people want native phone apps, or Apache 2.0 instead of MIT.

How we checked these Hermes Agent alternatives

We used primary sources only: each project’s repo, releases, README and docs, with stars and releases from the GitHub API on October 23, 2026. A tool had to be open source, have a release within 90 days, and do Hermes’ job: a personal agent you run yourself, with memory, tools and a way to reach it beyond one terminal. Coding agents such as Claude Code and OpenCode are a different job. For imports, we searched each repo for Hermes import code and docs. We did not run the other agents or their importers.

The 7 Hermes Agent alternatives, reviewed

1. Atomic Agent: best for approvals and a managed local model

We build Atomic Agent, so read this card with that in mind and check it against the repo.

Atomic Agent is a local-first agent under MIT. It runs as a desktop app for macOS 14+ on Apple Silicon, Windows x64 and ARM64, and Linux x64 and arm64, and as a terminal agent. It keeps memory across sessions, runs scheduled tasks, supports MCP servers and SKILL.md skills, and runs a local model or a cloud model through OpenRouter or your own API keys. Latest release: v0.6.10 and Desktop 0.0.4, October 21, 2026. Stars: 3,426.

• Hermes import: atomic-agent import hermes --dry-run previews and --yes applies. It reads ~/.hermes (or --source) and brings over chat history from state.db and scheduled jobs from cron/jobs.json. With --migrate-secrets it also copies OPENROUTER_API_KEY and AIMLAPI_API_KEY, and no other keys. The same import is /import in the TUI and is offered on first run. Memory, skills, MCP servers and channel settings do not move. See the import guide.
• Local models: the agent downloads llama.cpp and the model for you, from 4B-class models (8 GB RAM recommended) upward. Context size is fitted to free VRAM with a 32K-token floor (on a small GPU some layers move to the CPU instead); if the window is too small for the agent’s prompt, the agent warns instead of refusing to start. Presets cover Ollama, LM Studio and Atomic Chat.
• Channels: Telegram and Discord with approval buttons, set up from the terminal agent. atomic-agent serve keeps the bots running headless.
• Security and approvals: five approval levels; the default asks before every gated action, in the terminal, the desktop app or the chat bot. Outbound HTTP through its built-in HTTP tool and MCP tools marked read-only do not ask by default. Hardline shell rules block the worst commands at every level. It is not a sandbox.
• Telemetry: on by default: anonymous usage metrics and error reports, no message content. analytics.enabled: false in ~/.atomic-agent/config.json, /privacy analytics off or the Privacy tab turns both off.

Note: fewer channels than Hermes, no learning loop that writes its own skills, no container sandbox, and telemetry on until you turn it off.

Verdict: choose it if you want every gated action approved, a local model sized to your hardware, Telegram or Discord as the remote, and your Hermes chats and cron jobs carried over.

2. OpenClaw: best for chat-app reach and the deepest Hermes import

OpenClaw is the assistant built around messaging. Its README lists Discord, iMessage, Slack, Teams, Telegram, WhatsApp “and 20+ more,” plus native apps for macOS, iOS, Android, Windows and Linux. It is MIT-licensed, stewarded by the OpenClaw Foundation, has 392,830 stars and released v2026.10.6 on October 22, 2026.

• Hermes import: the widest we found. openclaw migrate hermes --dry-run previews and openclaw migrate apply hermes --yes applies. Per its Hermes migration guide it imports model and provider config, MCP servers, SOUL.md and AGENTS.md, appends MEMORY.md and USER.md to its memory files, copies skills, and asks before importing supported credentials. Sessions, cron jobs, plugins and Hermes’ databases are only copied into the migration report for manual review. It expects a fresh OpenClaw setup.
• Local models: through Ollama, LM Studio and vLLM per its provider docs.
• Channels: 20+ chat apps plus the native apps above.
• Security and approvals: unknown senders must be paired first. Per its README, “Tools run on the host for the main session unless you configure sandboxing.” Our guide on whether OpenClaw is safe covers its 2026 advisories.
• Telemetry: “by default OpenClaw itself phones home for nothing but a daily version check, anonymous feature statistics are opt-in,” per the README.

Note: it brings your config and memory, not your conversations or schedules. Its early-2026 record included a one-click remote code execution bug and malicious ClawHub skills.

Verdict: choose it if you live in many chat apps and want your Hermes skills and memory files moved. Our OpenClaw alternatives page covers its weak spots.

3. Goose: best for an Apache 2.0 desktop agent with local models built in

Goose is a general-purpose agent with a native desktop app for macOS, Linux and Windows, a CLI and an API. It is written in Rust under Apache 2.0, is part of the Agentic AI Foundation at the Linux Foundation, has 55,570 stars and released v1.55.0 on October 16, 2026.

• Hermes import: none that we could find in its code or docs.
• Local models: its default CLI build includes a local inference crate that runs GGUF models through llama.cpp, with optional MLX on Apple silicon. It also connects to Ollama, LM Studio, Docker Model Runner and Atomic Chat.
• Channels: an experimental Telegram gateway.
• Security and approvals: four permission modes: Completely Autonomous, Manual Approval, Smart Approval and Chat Only. “Autonomous Mode is applied by default,” so switch to Manual Approval if you want to confirm every tool call.
• Telemetry: goose asks on first use and collects anonymous usage metrics only if you opt in, per its usage data docs.

Note: the default mode runs tools without asking, and phone access is one experimental gateway.

Verdict: choose it if you want a desktop-first agent under Apache 2.0 with local models that need no separate server.

4. Moltis: best for containers by default plus a Hermes import

Moltis is a personal agent server in one Rust binary, with a web UI, channels, voice, memory, MCP and sandboxed execution. It is MIT-licensed, has 2,906 stars and released 20261019.01 on October 19, 2026. Its README says “Every command runs in a sandboxed container, never on your host.”

• Hermes import: from the settings page in its web UI. Per its hermes-import code it brings credentials from .env, skills, memory and workspace files (SOUL.md, AGENTS.md, MEMORY.md, USER.md) and provider configuration, without modifying your Hermes files. We did not find sessions or cron jobs in it.
• Local models: built-in GGUF through llama.cpp and MLX, plus Ollama, LM Studio and other OpenAI-compatible providers.
• Channels: Telegram, Signal, Microsoft Teams, Discord, Slack, WhatsApp, Matrix, Nostr, the web UI and a mobile PWA.
• Security and approvals: commands run inside Docker, Podman or Apple Container by default, with WASM sandbox tools. Dangerous commands need approval, and its sandbox docs note that with no container runtime installed, commands fall back to the host.
• Telemetry: we found no telemetry statement in its docs.

Note: its local LLM docs say “Local models don’t support function/tool calling” for the built-in backend. Use Ollama or another OpenAI-compatible server for a local model that can act.

Verdict: choose it if you want your Hermes keys, skills and memory moved into an agent that sandboxes commands by default.

5. NanoClaw: best for strict container isolation

NanoClaw is a small TypeScript assistant built on Anthropic’s Claude Agent SDK, meant to be forked and changed through Claude Code. It is MIT-licensed, has 30,999 stars and released v2026.10.0 on October 9, 2026. Its README: “Agents run in their own Linux containers with filesystem isolation, not merely behind permission checks.”

• Hermes import: none that we could find. It has a guided migration for OpenClaw and for its own older version, not for Hermes.
• Local models: an /add-ollama-provider skill adds them; the core runs Claude.
• Channels: Slack, Telegram, Discord, WhatsApp, iMessage and a CLI at setup, more through /add-<channel> skills.
• Security and approvals: each agent group gets its own Docker container and sees only the folders you mount. Credentials stay outside the container behind a credential gateway.
• Telemetry: “The only thing it reports is anonymous setup diagnostics, and NANOCLAW_NO_DIAGNOSTICS=1 turns those off.”

Note: it is Claude-first and needs Docker. Hermes’ provider breadth is not here by default.

Verdict: choose it if isolation matters more than anything else and you are happy running Claude in Docker.

6. ZeroClaw: best for many channels in one binary

ZeroClaw is a single Rust binary that talks to Anthropic, OpenAI, Ollama “and ~20 others” and reaches “30+ channels,” per its README. It is dual-licensed MIT or Apache 2.0, has 33,034 stars and released v0.8.6 on October 18, 2026. Use the zeroclaw-labs repo; stale forks with the same name exist.

• Hermes import: none that we could find. Its only migration command imports memory from OpenClaw.
• Local models: “local Ollama, or any OpenAI-compatible endpoint.”
• Channels: Discord, Telegram, Matrix, email, voice, webhooks and the CLI, with more behind build features.
• Security and approvals: default autonomy is supervised: medium-risk operations need approval, high-risk ones are blocked. OS sandboxes (Landlock, Bubblewrap, Seatbelt or Docker) are available.
• Telemetry: “No telemetry, no cloud tenancy, no license server,” per its docs.

Note: you rebuild everything from Hermes by hand. A YOLO mode skips the safety gates, so check your config before exposing it.

Verdict: choose it if you want broad channel coverage, approvals on by default and a single binary to deploy.

7. Nanobot: best for a small Python codebase

Nanobot from HKUDS is a lightweight self-hosted agent with a WebUI, terminal, chat apps, memory, MCP, skills and automations on one Python gateway. It is MIT-licensed, has 49,299 stars and last released v0.3.5 on September 15, 2026.

• Hermes import: none that we could find.
• Local models: Ollama, vLLM or another OpenAI-compatible server.
• Channels: Telegram, Discord, Slack, WeChat, email, Mattermost, Linear and others.
• Security and approvals: a workspace restriction and a shell sandbox (bubblewrap on Linux, Seatbelt on macOS) exist, and both are off by default per its configuration docs. The docs recommend turning both on for production and note that “Neither backend restricts network access.”
• Telemetry: we found no statement in the README or docs.

Verdict: choose it if you want a smaller Python agent than Hermes and will switch the sandbox on yourself.

Hermes Agent alternatives compared

Three facts set the tools apart. OpenClaw imports the most from Hermes and reaches the most chat apps. Moltis and NanoClaw are the ones that run commands in containers by default. Hermes is the only one with a fixed context minimum that it enforces at startup.

“Desktop app” means a native app from the project itself. Atomic Agent’s desktop release is Desktop 0.0.4, published with v0.6.10.

Migrating from Hermes: what actually moves

No alternative moves everything. Run the importer’s dry run first, and keep ~/.hermes untouched until the new agent works.

“Archive only” means OpenClaw copies the files into its migration report for you to review and does not load them. “Not found” means we did not find that item in the project’s import code or docs.

The importers cover different halves of a Hermes setup. Atomic Agent keeps your conversations and schedules; OpenClaw and Moltis keep your identity files, memory and skills. Where an importer skips keys, re-add them by hand.

When to stay on Hermes

Stay if its learning loop is the point: no tool here creates and refines skills from its own runs the way Hermes does. Stay too if you run the agent on its remote backends (Modal, Daytona, SSH or Vercel Sandbox), or depend on its community, second only to OpenClaw’s. If the 64K floor is your only problem and your hardware can hold it, its provider docs show how to raise the window on llama.cpp, vLLM and Ollama.

If you stay, review your approval mode: manual asks about every dangerous command instead of letting an auxiliary model decide, and a Docker backend moves commands off your host.

Frequently asked questions

Which one should you pick?

Start from the reason you are leaving. For reach, OpenClaw, with openclaw migrate hermes --dry-run to preview your skills and memory moving. For isolation, Moltis or NanoClaw, and Moltis imports your Hermes keys and skills. For an Apache 2.0 desktop agent, Goose. For many channels in one binary, ZeroClaw.

If you want approval on every gated action, a local model the agent sizes to your hardware with a 32K floor instead of 64K, and Telegram or Discord as the remote, try Atomic Agent: the desktop app is one download, or install it from the terminal. Run atomic-agent import hermes --dry-run to see what would come over: your chat history and cron jobs. For what that looks like day to day, see Atomic Agent as a personal AI agent, and if local agents are new to you, what a local AI agent is explains the idea.

And if your reason was a missing app or a missing local runtime, update Hermes first. Both arrived in October.

Release dates, versions, licenses and star counts were checked against the GitHub API and each project’s documentation on October 23, 2026. Atomic Agent’s card was checked against its code at v0.6.10. We did not run the other agents or their importers.