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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.
22 featured picks374 builds with real repo pull14 live lanes to scan
833Tracked Builds
2.0MRepo Stars
14Builder Lanes
Fastest Way Into OpenClaw
1. Install
pip install open-interpreterRequires Python 3.10+. The core runtime for OpenClaw-compatible assistants.
2. Run
interpreterOpens an interactive terminal session. The assistant can execute code, browse the web, and manage files.
3. Customize
Add skills, connect local LLMs, configure memory systems, and install plugins from the ecosystem below.
Complete Setup Guide
1Install Python
Install Python
- a
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.
- b
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
2Set Up a Virtual Environment
Set Up a Virtual Environment
- a
Create the environment
python3 -m venv interpreter_envThis creates a folder called
interpreter_envwith its own Python. Your system Python stays untouched. - b
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.
3Install Open Interpreter
Install Open Interpreter
- a
Install via pip
pip install open-interpreterMake sure your virtual environment is activated first (you should see
(interpreter_env)in your prompt). - b
Verify it installed
interpreter --versionYou should see a version number. If you get "command not found", try
python3 -m interpreterinstead.
4Set Up Your API Key
Set Up Your API Key
- a
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).
- b
Set the key in your terminal
Mac/Linux (add to
~/.zshrcor~/.bashrcto persist):export OPENAI_API_KEY='sk-your-key-here'Windows:
setx OPENAI_API_KEY sk-your-key-here - c
Save 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 --fastas a shortcut.
5Your First Run
Your First Run
- a
Launch it
interpreterYou'll see a chat prompt. Type naturally — it understands plain English.
- b
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.
- c
Auto-approve mode (skip confirmations)
interpreter -yThe
-yflag auto-approves all code execution. Only use this when you trust the task — it can modify files and run shell commands.
6Run Locally — Free & Private
Run Locally — Free & Private
- a
Install Ollama
Download from ollama.com. One-click install on Mac/Windows/Linux.
- b
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. - c
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.
7Extend with the Ecosystem
Extend with the Ecosystem
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.
Starter Packages
Pick a use case. Get the command. Start building in 60 seconds.
Desktop & GUI Agent
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'"
open-interpreter[os]PyAutoGUIPillowChrome/Edge
GitHub Issue → PR
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"
open-interpretergitpytest/jest--loop flag
Local-First (Zero Cost)
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"
open-interpreter[local]Ollamacodestral/llama3.1llamafile
Multi-Agent Crew
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"
crewaicrewai[tools]chromadbuvlangchain
Data Pipeline
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"
open-interpreterpandasmatplotlibGPT-4o
File Automation
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"
open-interpreterwatchdogscheduletenacity
Where OpenClaw is winning
The strongest lanes in this ecosystem, ranked by visible public proof.
Lead builds
539k ★Core & Alternatives
6 tracked builds
Lead builds
29k ★Skills
6 tracked builds
Lead builds
17k ★Plugins
6 tracked builds
Lead builds
67k ★Memory Systems
6 tracked builds
Lead builds
84k ★Infrastructure
6 tracked builds
Lead builds
13k ★Desktop & Dashboard
4 tracked builds
OpenClaw board
(833)Filter the ranked board by type, timing, and proof signal.
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更适配中文用户的轻量开源AI Agent | 国产大模型Coding plan支持 | 兼容OpenClaw Skills生态| 已接入微信ClawBot/微博龙虾/飞书/钉钉/QQ/小智AI/Telegram/deepseek-v4。
AgentOOpenClaw
MateClaw — Your second brain with Multi-Agent Orchestration, MCP Protocol, Skills & Memory, Dream, and Multi-Chann...
Agent
PowerMem: AI Memory Plugin— Accurate, Agile, Affordable. Make AI Agent smarter.
AppOpenClaw Memory
Bug bounty agent framework for Claude Code, Codex, Gemini, Cursor, Windsurf, Copilot, and OpenClaw — 48 agents, 26 co...
Skill
Self-improvement skill for OpenClaw. It captures learnings, errors, and feature requests to support continuous improv...
SkillOOpenClaw
Turn the agents you already use into a squad. Codex, Claude Code, Cursor, Hermes Agent and OpenClaw use one encrypted...
Agent
Bridge WeChat chat messages to any ACP-compatible AI agent (Claude, Codex, Copilot, Qwen, Gemini, OpenCode, OpenClaw,...
Agent
OpenClaw 中文文档站 | AI 智能体框架 源码剖析 安装教程 | WhatsApp Telegram Discord 飞书 多通道机器人
AgentOOpenClaw
An agentic AI assistant that lives in your chats, inspired by nanoclaw and incorporating some of its design ideas....
Agent
Claw-Eval is an evaluation harness for evaluating LLM as agents. All tasks verified by humans.
AgentOOpenClaw
JavaClaw, a Java version of OpenClaw built on Spring Boot, Spring AI and JobRunr
AppOOpenClaw
🦞 Official plugin for OpenClaw that exports agent traces to Opik. See and monitor agent behaviour, cost, tokens, err...
PluginOOpenClaw
🦞 Your AI Personal Assistant. An intelligent assistant with memory, skills, and scheduled tasks that truly understa...
Agent
JavaClaw, a Java version of OpenClaw built on Spring Boot, Spring AI and JobRunr
AppOOpenClaw
The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP serve...
Agent
Secure, real-time monitoring dashboard for OpenClaw AI agents. Auth, TOTP MFA, cost tracking, live feed, memory br...
AppOOpenClaw
What if OpenClaw, Claude Code, Codex etc. knew how to do your work without you saying it? AgentHandover observes you,...
AgentOOpenClaw
The best way to build a personality for your agent. Let Claude Code / OpenClaw ingest your data & build your AI soul.
Skill
Phistory automatically archives versioned system prompt snapshots from agent CLIs like Claude Code, Codex, OpenClaw,...
Agent
一个面向 claude code / Codex / OpenClaw 的跨境电商和国内电商通用视觉创作 Skill。我精选25个高质量案例，涵盖纯色底产品主图、场景化生活图、平铺图、电商详情图、真实场景等等，全部配完整提示词，都可以...
Skill
Source-available LLM router and AI cost optimizer. Routes simple prompts to cheap or local models and complex ones to...
App
Lightweight, clear, and fully extensible AI agent infrastructure — learn easily, customize anything
Agent
Open-source AI research assistant for biomedicine — chat to run RNA-seq, drug discovery, clinical analysis, and more....
AgentClaude Code
Claude Code
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works wi...
App
Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory；Knowledge Graph Context Engine for Ope...
PluginOOpenClaw
OpenClaw Office is the visual monitoring and management frontend for the OpenClaw Multi-Agent system. It connects to...
AppOOpenClaw
The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Built on A...
App
Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP too...
Agent