The open-source personal AI assistant ecosystem
OpenClaw is the largest open-source AI assistant platform with 238K+ GitHub stars. Browse the full ecosystem — core alternatives, skills, plugins, memory systems, infrastructure, and desktop apps.
pip install open-interpreterRequires Python 3.10+. The core runtime for OpenClaw-compatible assistants.
interpreterOpens an interactive terminal session. The assistant can execute code, browse the web, and manage files.
Add skills, connect local LLMs, configure memory systems, and install plugins from the ecosystem below.
Check your current version
python3 --versionIf you see 3.10.x or 3.11.x, skip to step 2. If you see 3.8 or 3.9, or "command not found", keep going.
Install Python 3.11
Mac: brew install [email protected] (install Homebrew first if you don't have it)
Windows: Download from python.org. Check "Add Python to PATH" during install.
Linux: sudo apt install python3.11 python3.11-venv
Create the environment
python3 -m venv interpreter_envThis creates a folder called interpreter_env with its own Python. Your system Python stays untouched.
Activate it
Mac/Linux:
source interpreter_env/bin/activateWindows:
interpreter_env\Scripts\activateYou'll see (interpreter_env) in your terminal prompt. That means it's working.
Install via pip
pip install open-interpreterMake sure your virtual environment is activated first (you should see (interpreter_env) in your prompt).
Verify it installed
interpreter --versionYou should see a version number. If you get "command not found", try python3 -m interpreter instead.
Get an OpenAI API key
Go to platform.openai.com/api-keys and create one. You'll need to add a payment method — but costs are low (~$0.01-0.05 per conversation).
Set the key in your terminal
Mac/Linux (add to ~/.zshrc or ~/.bashrc to persist):
export OPENAI_API_KEY='sk-your-key-here'Windows:
setx OPENAI_API_KEY sk-your-key-hereSave money with GPT-3.5
interpreter --model gpt-3.5-turboGPT-4 is the default and costs ~10x more. GPT-3.5 is fine for most tasks. You can also use interpreter --fast as a shortcut.
Launch it
interpreterYou'll see a chat prompt. Type naturally — it understands plain English.
Things to try
> What files are in my Downloads folder?> Create a Python script that renames all .jpg files in ~/Photos to include today's date> Make a bar chart of my monthly expenses from expenses.csv> Search Google for the weather in Tokyo and summarize itIt writes and runs code to accomplish each task. You'll be asked to approve before it executes anything.
Auto-approve mode (skip confirmations)
interpreter -yThe -y flag auto-approves all code execution. Only use this when you trust the task — it can modify files and run shell commands.
Install Ollama
Download from ollama.com. One-click install on Mac/Windows/Linux.
Pull a model
ollama pull llama3.1Llama 3.1 8B is a great starting point (~4.7GB download). For better results with more RAM, try ollama pull llama3.1:70b.
Run Open Interpreter with your local model
interpreter --localIt auto-detects Ollama and uses your downloaded model. Zero API costs. Fully private — nothing leaves your machine.
Hardware tip: 8B models need ~8GB RAM. 70B models need ~48GB RAM. If your machine struggles, stick with 8B — it handles most tasks well.
Once you're comfortable with the basics, explore the tools below. The OpenClaw ecosystem includes:
Skills
Custom commands that teach your assistant new abilities — from web scraping to data analysis.
Plugins
Connect to external services — Slack, email, calendars, databases, and more.
Memory Systems
Give your assistant long-term memory so it remembers your preferences and past conversations.
Desktop Apps
GUI interfaces that make Open Interpreter feel like a native app instead of a terminal tool.
Pick a use case. Get the command. Start building in 60 seconds.
Control your screen — fill PDFs, manipulate Excel, automate native apps. OS Mode gives the agent eyes and hands via PyAutoGUI + screenshots. macOS: enable Screen Recording in Privacy settings. Linux: install scrot. Single monitor only.
pip install open-interpreter[os] && interpreter --osTry this
"Open my Downloads folder, find all PDFs from this month, fill in the 'Name' field on each form with 'John Doe', and save them to a new folder called 'filled'"
Agent watches your issues board, creates a branch, writes code, runs tests, and opens a PR. The #1 most-requested autonomous workflow on Reddit. Use --loop to keep it running until done. Pair with --safe_mode for guardrails.
pip install open-interpreter && interpreter -y --loopTry this
"Look at the open issues in this repo, pick the one labeled 'good first issue', create a branch, implement the fix, write a test, and open a pull request"
Fully private — nothing leaves your machine. Zero API costs. Requires Ollama + a model download. 8B models need ~8GB RAM. Codestral recommended for code tasks, Llama 3.1 for general use. Fix JSON spam with --no-llm_supports_functions.
pip install open-interpreter[local] && ollama pull codestral && interpreter --api_base http://localhost:11434/v1 --model ollama/codestralTry this
"Analyze the Python files in this project, find potential bugs, and generate a report — all running locally with no API calls"
Team of specialized agents that collaborate via CrewAI — researcher, writer, reviewer, each with defined roles. Requires uv package manager. Windows users need Visual Studio Build Tools for chromadb compilation.
pip install uv && uv tool install crewai && crewai create crew my_project && cd my_project && crewai installTry this
"Create a crew: researcher finds the top 5 competitors, analyst compares their pricing, writer produces a markdown report with recommendations"
Chain analysis steps: load data → clean → analyze → visualize → export PDF. The agent writes and runs Python (pandas, matplotlib) autonomously. Use GPT-4o for complex statistical reasoning. Known issue: long outputs get truncated — break tasks into steps.
pip install open-interpreter && interpreter -y --model gpt-4oTry this
"Load sales_data.csv, remove duplicate rows, calculate monthly revenue trends, create a bar chart for each quarter, and export everything as a PDF report"
Real-time filesystem monitoring with watchdog — auto-sort downloads, rename files, deduplicate, archive old files. Schedule runs periodic maintenance. Use interpreter to generate the watchdog script, then run it standalone.
pip install open-interpreter watchdog schedule && interpreter -yTry this
"Write me a Python script using watchdog that monitors my Downloads folder, automatically moves .pdf files to ~/Documents/PDFs and .jpg files to ~/Pictures, and runs 24/7"
The strongest lanes in this ecosystem, ranked by visible public proof.
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Filter the ranked board by type, timing, and proof signal.
142 signals found
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openclaw, claude-code, claude-cowork
openclaw, claude-code, claude-cowork
High-value AI skills repository for Codex, Claude Code, OpenClaw, agents, prompts, and automation workflows. 高价值的 AI...
High-value AI skills repository for Codex, Claude Code, OpenClaw, agents, prompts, and automation workflows. 高价值的 AI 技能库,涵盖 Codex、Claude Code、OpenClaw、代理、提示和自动化工作流程。
Phistory automatically archives versioned system prompt snapshots from agent CLIs like Claude Code, Codex, OpenClaw,...
Phistory automatically archives versioned system prompt snapshots from agent CLIs like Claude Code, Codex, OpenClaw, and Hermes.
Homebrew tap for openclaw
Homebrew tap for openclaw
A 30-day public U.S. stock challenge: follow a 5000 HKD 🦞 claw through live market days.
A 30-day public U.S. stock challenge: follow a 5000 HKD 🦞 claw through live market days.
GitHub project goldmar/openclaw-code-agent
GitHub project goldmar/openclaw-code-agent
This is a skill that can be used for most of the agentic AI, which enables your Hermes, Openclaw...etc to look for a...
This is a skill that can be used for most of the agentic AI, which enables your Hermes, Openclaw...etc to look for a bunch of papers based on your research plan. It will access to scopus by the scopus mcp, and OpenAlex api...etc
Unraid plugin + OpenClaw AI agent tools for managing Unraid servers
Unraid plugin + OpenClaw AI agent tools for managing Unraid servers
A collection of global government warnings, vendor advisories, and news headlines about OpenClaw Security for AI deve...
A collection of global government warnings, vendor advisories, and news headlines about OpenClaw Security for AI developers and investors. Updated regularly.
自動每日更新, 讓你的LLM有面對openclaw疑難雜症處理的能力。This is an Agent Skill designed for AI coding assistants (like Claude with Antigra...
自動每日更新, 讓你的LLM有面對openclaw疑難雜症處理的能力。This is an Agent Skill designed for AI coding assistants (like Claude with Antigravity). Once installed, the AI assistant gains deep knowledge of OpenClaw and can help you
Claude Code agent-in-container orchestration and automation
Claude Code agent-in-container orchestration and automation
Built for OpenClaw swarms! Intelligent Ollama router with GPU awareness
Built for OpenClaw swarms! Intelligent Ollama router with GPU awareness
你的专属 AI 助手,可集成至 OpenClaw、WorkBuddy 等任何 Agent,覆盖 L2C 整个链路。
你的专属 AI 助手,可集成至 OpenClaw、WorkBuddy 等任何 Agent,覆盖 L2C 整个链路。
Brigade CLI: AI agent memory, handoffs, and local guardrails for Codex, Claude Code, OpenCode, Hermes, and OpenClaw.
Brigade CLI: AI agent memory, handoffs, and local guardrails for Codex, Claude Code, OpenCode, Hermes, and OpenClaw.
弥娅(Miya)是一个拥有独立人格、记忆与情感的 AI 虚拟化身系统。她不是在对话结束就忘记你的工具,而是拥有六层记忆架构(对话→短期→长期→语义→知识→置顶)的数字生命,以 JSON 与 SQLite 双后端持久化每一次交流。 跨平...
弥娅(Miya)是一个拥有独立人格、记忆与情感的 AI 虚拟化身系统。她不是在对话结束就忘记你的工具,而是拥有六层记忆架构(对话→短期→长期→语义→知识→置顶)的数字生命,以 JSON 与 SQLite 双后端持久化每一次交流。 跨平台全端在线:QQ、OneBot、飞书、Electron 桌面应用与 Web 终端同步响应,统一消息路由。内置 OpenClaw 模块赋予她文件读写与系统操控能力,蛛网子网架构让工具调用和消息分发如呼吸般自然。 22 种 YAML 人格支持运行时无感热替换,情感引擎驱动个性表达。多模型智能调度在 OpenAI、DeepSeek、智谱等模型池间自由切换,始终选择最合适的思维引擎。
Sub-200ms voice assistant for Reachy Mini — powered by sherpa-onnx and OpenClaw
Sub-200ms voice assistant for Reachy Mini — powered by sherpa-onnx and OpenClaw
Encrypted vault, ZK settlement archiving, x402 payment receipts, Agent Passport binding, and Solana anchoring for Ope...
Encrypted vault, ZK settlement archiving, x402 payment receipts, Agent Passport binding, and Solana anchoring for OpenClaw and agent runtimes. Drop-in stack — compression, privacy, payments, identity.