Hermes Agent 替代方案：5 款可以改用的開源代理

檢查清單

檢查清單

	Hermes Agent	ZeroClaw	OpenClaw	NanoClaw	Rakazo	NemoClaw
開源授權	是	是	是	是	是	是
支援本地模型	是	是	是	是	是	是
預設沙箱隔離	否	是	否	是	是	是
預設無遙測	是	是	否	否	是	否
整合你的聊天 App	是	是	是	是	是	是
你不在時也能工作	是	是	是	是	是	是

替代方案

1. 

   ZeroClaw

   免費

   Personal AI agent in one Rust binary, MIT or Apache-2.0, with local or cloud models, 30+ channels, approval gates and an OS sandbox on by default.

   Meets every check: one Rust binary, approval gates and an OS sandbox on by default, no telemetry, local models.

   優點

   • Safe defaults: the recommended profile asks before medium-risk actions, blocks high-risk ones, keeps files in the workspace and runs tools in an OS sandbox
   • One small Rust binary with one config file, running on macOS, Linux, Windows and boards like a Raspberry Pi
   • More than 30 channels, plus a web dashboard for chat, memory, config and cron
   • Provider fallback chains, local models through Ollama, and cryptographic receipts for tool calls
   • States plainly that it sends no telemetry and needs no cloud account or license server

   缺點

   • Slack, iMessage, Signal and several other channels are not in the standard release; you build from source with extra features to get them
   • `zeroclaw quickstart` only sets up the model provider; channels and risk profiles mean editing the TOML config file
   • The Docker sandbox backend isn't picked automatically under the default native runtime
   • Model costs are on you
   前往 ZeroClaw
2. 

   OpenClaw

   免費

   Free, MIT-licensed personal AI agent that runs on your own computer and takes orders from WhatsApp, Telegram, iMessage, Slack and 20+ other chat apps.

   The biggest ecosystem and every chat app, but sandboxing is off and telemetry is on by default.

   優點

   • Free and MIT licensed, with no paid tier
   • Runs on your own hardware, and state, memory and credentials stay there
   • Works in 29 chat channels, including WhatsApp, Telegram, iMessage, Slack, Discord and Microsoft Teams
   • Model-agnostic: 64 model and media providers, plus local models
   • Large ecosystem of skills and 142 official plugins, and very active development

   缺點

   • Model costs are on you and can run high: testers and users have reported spending over $100 in a day with expensive models
   • Sandboxing is off by default and the agent can run commands on the host unless you turn on approvals
   • Setup and upkeep expect comfort with the command line; maintainers warn it is risky for non-technical users
   • Broad access to email, messages and the system makes prompt injection and malicious third-party skills a real risk
   前往 OpenClaw
3. 

   NanoClaw

   免費

   Small, MIT-licensed OpenClaw alternative that runs each agent in its own Docker container and chats with you on WhatsApp, Telegram, Slack, Discord and more.

   Every agent in its own container and a tiny codebase, but tied to Claude Code and sends setup diagnostics by default.

   優點

   • Every agent runs in its own Docker container and sees only the folders you mount, so shell access stays off your host
   • Small codebase (one host process and a handful of files) that you customize by having Claude Code edit your fork
   • Agents never hold raw API keys: outbound calls go through a credential gateway with per-agent policies and rate limits
   • Many chat channels, including WhatsApp, Telegram, Slack, Discord, iMessage, Teams, Matrix and email, with one or several agents per channel
   • Scheduled tasks with optional script gates that skip waking the agent when there's nothing to do

   缺點

   • Built around Claude and Claude Code: customizing, debugging and adding channels all go through Claude Code
   • Sends anonymous setup diagnostics unless you set NANOCLAW_NO_DIAGNOSTICS=1
   • No config files by design, so every change means editing code in your own fork
   • Needs Docker, and Windows only works through WSL2
   前往 NanoClaw
4. 

   Rakazo

   US$10/月起

   Open-source, self-hostable platform for persistent AI bots that each get a job, a computer, memory and routines, using the model you choose.

   Our own product. Meets every check: Apache-2.0, sandboxed bot computers, no telemetry by default, any model you connect.

   優點

   • Open source (Apache-2.0) and fully self-hostable, including with local models
   • Choice of model per bot, including existing Claude or ChatGPT subscriptions
   • Bots keep working on schedules and triggers with their own cloud computer
   • Approval controls over which actions a bot may take on its own

   缺點

   • Still in beta, with frequent releases
   • You supply and pay for the model on the hosted plans, unless you buy Rakazo credits
   • Telegram, WhatsApp and iMessage/SMS are only available when self-hosted
   • More setup than a single chat app
   前往 Rakazo
5. 

   NemoClaw

   免費

   NVIDIA's Apache-2.0 stack for running OpenClaw, Hermes or Deep Agents inside locked-down OpenShell sandboxes with managed inference. Alpha.

   Puts OpenClaw or Hermes in a locked-down sandbox, but it's alpha, heavy to run and sends telemetry by default.

   優點

   • Puts OpenClaw or Hermes Agent in a sandbox with network, filesystem and process controls instead of running it on your host
   • Unapproved network destinations are blocked and surfaced for an operator to approve
   • Inference, messaging and MCP credentials stay outside the sandbox
   • Backed by NVIDIA, with local inference through Ollama, vLLM or NIM and a tested path on DGX Spark

   缺點

   • Alpha: maintainers support it on a best-effort basis, and several channels are experimental
   • A wrapper, not an agent: what the bot can do depends on the OpenClaw or Hermes version inside
   • Heavier than running the agent alone: 8 GB RAM minimum, a 2.4 GB sandbox image and a container runtime
   • The CLI sends operation telemetry to NVIDIA unless you set NEMOCLAW_DISABLE_TELEMETRY=1
   前往 NemoClaw

功能

功能

	Hermes Agent	ZeroClaw	OpenClaw	NanoClaw	Rakazo	NemoClaw
網路搜尋	是	是	是	是	是	是
圖像生成	是	是	是	未知	是	未知
語音模式	是	是	是	未知	是	未知
檔案上傳	是	是	是	是	是	未知
記憶	是	是	是	是	是	未知
代你執行操作	是	是	是	是	是	是
應用程式整合	是	是	是	是	是	是
自主運作	是	是	是	是	是	是
主動傳訊息給你	是	是	是	是	是	未知
可執行多個機器人	是	是	是	是	是	未知

來源