abcampbel/open-bots

选用指南

AI 根据 README 整理 · 2026/10/22 02:46:25

使用方式

可通过网页版 openbots.tech 使用，也可通过 Node.js 或 Docker 本地部署，支持 Ollama 等本地模型。

查看 README 依据

see [Tools for local models](#tools-for-local-models). ## Quick start ### Use it online Open **[openbots.tech](https://openbots.tech)**, hover an agent and click to chat. ### Run with Node.js Requires Node.js 20+ and Git. ```bash git clone https://github.com/abcampbel/open-bots.git openbots cd openbots npm ci cp .env.example .env # then add your keys, see Configuration npm run dev # http://localhost:3000 ``` Production build: `npm run build && npm start`. ### Run with Docker ```bash git clone https://github.com/abcampbel/open-bots.git openbots cd openbots

cp .env.example .env docker build -t openbots . docker run -d --name openbots -p 3000:3000 --env-file .env openbots curl http://localhost:3000/api/status # → "status": "online" ``` ### Run fully local with an open-weight model No cloud keys. Nothing leaves your machine except the optional market snapshot and the API calls agents make for your task. ```bash # 1. Install Ollama from https://ollama.com and pull a model ollama pull llama3.1 # or qwen2.5, mistral, gemma2 … # 2. Point OpenBots at it cat >> .env <<'ENV' LOCAL_MODEL_BASE_URL=http://localhost:11434/v1

部署要求

需要 Node.js 20+ 和 Git，或 Docker；本地模式需安装 Ollama 并拉取模型。

查看 README 依据

see [Tools for local models](#tools-for-local-models). ## Quick start ### Use it online Open **[openbots.tech](https://openbots.tech)**, hover an agent and click to chat. ### Run with Node.js Requires Node.js 20+ and Git. ```bash git clone https://github.com/abcampbel/open-bots.git openbots cd openbots npm ci cp .env.example .env # then add your keys, see Configuration npm run dev # http://localhost:3000 ``` Production build: `npm run build && npm start`. ### Run with Docker ```bash git clone https://github.com/abcampbel/open-bots.git openbots cd openbots

cp .env.example .env docker build -t openbots . docker run -d --name openbots -p 3000:3000 --env-file .env openbots curl http://localhost:3000/api/status # → "status": "online" ``` ### Run fully local with an open-weight model No cloud keys. Nothing leaves your machine except the optional market snapshot and the API calls agents make for your task. ```bash # 1. Install Ollama from https://ollama.com and pull a model ollama pull llama3.1 # or qwen2.5, mistral, gemma2 … # 2. Point OpenBots at it cat >> .env <<'ENV' LOCAL_MODEL_BASE_URL=http://localhost:11434/v1

已知限制

支付和注册功能默认关闭，需通过环境变量启用；本地模式仅支持 Ollama 的函数调用，vLLM 和 llama.cpp 的工具支持仍在规划中。

查看 README 依据

Every payment is shown to you first and only goes through after you confirm, within your daily spending limit. ### Sign up anywhere With the `sign_up` tool enabled, an agent can register an account on a website in an isolated browser worker, for example to get an API key it needs for your task. It asks before submitting any form and never reuses your own passwords. Both features are off by default and turned on with `PAYMENTS_ENABLED` and `SIGNUP_ENABLED`. ## Features ### Prompt caching

- [x] **Browser agent**: headless Chromium in an isolated worker for sites without APIs - [x] Accounts, saved agents and per-user rate limits - [ ] **Desktop sandbox**: a dedicated VM the agent can operate, streamed to the chat - [ ] Tool use for local models via vLLM and llama.cpp ## FAQ **Is the model open source?** Yes. Agnes 2.5 Pro and the OpenBots platform are open under MIT. You can also run any open-weight model (Llama, Qwen, Mistral, Gemma) by setting `LOCAL_MODEL_BASE_URL`; see [Run fully local](#run-fully-local-with-an-open-weight-model). **What does it cost?**