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.
6 tracked builds
6 tracked builds
6 tracked builds
6 tracked builds
6 tracked builds
4 tracked builds
Filter the ranked board by type, timing, and proof signal.
107 signals found
基于 AI Agent + MCP 工具链 + 渗透 Skill 编排, 配合大语言模型, 自然语言输入 → 自动完成「信息收集 → 漏洞发现 → 漏洞利用 → 报告生成」全流程。
Real-time AI assistant for Meta Ray-Ban smart glasses -- voice + vision + agentic actions via Gemini Live and OpenClaw
哈喽!龙虾 Adopt from scratch and build your first claw 🦞 来领养你的第一只龙虾!
The world's first Autonomous Product Engine (APE): AI agents research your market, generate features, and ship code a...
The long-horizon computer-use harness. Run AI agents across desktop apps and the CLI for extended periods while prese...
A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.
When Claude Code hits its usage limit, Codex picks the task up from the same memory. Sno Station puts Codex, Claude C...
Verifiable program-level self-evolution for AI-for-Science agents: Skills and typed Operators grow from replay-verifi...
An agentic AI assistant that lives in your chats, inspired by nanoclaw and incorporating some of its design ideas....
An AI-friendly iOS/iPadOS automation testing tool built on XCUITest, but more than a testing tool: agents like Codex,...
Automatic memory consolidation for OpenClaw agents — like sleep for your AI. Powered by MyClaw.ai
Postiz Agents CLI - connect it to Claude / OpenClaw / etc, to schedule social media posts
The Agent Economy Layer — agents earn, agents spend, Guard protects. 13 skills, runtime cost cap, recursive kill, too...
Agentic AI EDR for developer workstations and autonomous agent swarms. Build Swarm Detection & Response platforms wit...
A modular, skill-based autonomous Security Operations Center (SOC) agent that monitors OpenSearch/Elasticsearch data,...
A tool for autonomous agents like OpenClaw to discover and learn skills autonomously
AI Agent Engine with Long-Term Memory and Self-Learning & One-Click OpenClaw Migration
A secure, stable, and lightweight alternative to OpenClaw and Hermes.
Dragonclaw: Maybe the best openclaw client. Built with Electron+SQLite, it doesn't touch OpenClaw's code but adds mul...
OriginTrail Decentralized Knowledge Graph (DKG) — Shared memory for AI agents. Give Hermes, OpenClaw, Claude Code, Co...
Your own digital life form — local AI companion with persistent memory, IDE workspace, MCP support, and 30+ tools. Co...
ClawMax is OpenClaw to the Max! A web orchestration layer for OpenClaw agents, teams, workflows, and templates.
openqqwaifu 是一个独立运行的 QQ Waifu 控制台与运行时。 它把角色卡、会话记忆、知识库、成员目录、技能系统、模型接入、Web Console,以及 OpenClaw 兼容 skill runtime 都收敛在同一...
OpenClaw / Home Assistant voice assistant for the Voice PE — realtime conversation, custom wake words, speaker recogn...
A living 3D city for your AI agents, self-hosted. Bring OpenClaw and Hermes agents, connect a Grok Bot, or build agen...
The AI-native browser automation library. Snapshot + ref targeting — born from OpenClaw, built for agents, by agents.
An open-source studio for teams of AI agents, from marketing squads to dev teams to research crews. Deploy a team, th...
Open-source AI phone API for voice agents. Give Claude, Cursor, OpenClaw, or any LLM a real phone number — outbound/i...
Lobster0 — a self-hosted OpenClaw-inspired AI agent with persistent memory, governed autonomy, and self-evolution. 受...
Open-source AI agent CLI built in Zig. A pure Zig rewrite of OpenClaw — one ~5MB binary, zero Node.js. Agentic loop,...
Ultra-lightweight, open-source, self-hosted personal AI assistant in Go for RISC-V, SBCs, and embedded systems. Activ...
Open-source agentic infrastructure & alternative to Grok Bot. Bring Claude Code, Codex, OpenClaw or your own. Start w...
Free AI-powered Amazon product research & marketplace intelligence. Hidden Profit Index — Sorftime's algorithm for ov...
AI-powered self-healing system for OpenClaw Gateway • 4-tier autonomous recovery • macOS & Linux
Production-grade memory operating system for agentic AI. Interoperates with every major framework via MCP, OpenAI-com...
TaskForge Platform runs AI agents in sandboxed Docker containers with capability-based security. Agents start with mi...
Universal AI Tool Orchestrator - Sync skills, MCPs, and memory across Claude Code, Codex, Gemini CLI, OpenCode, OpenC...
A Swift package SDK for running local OpenClaw-style AI agent workflows inside native Swift applications.
Trade Bitcoin prediction markets on autopilot with this automated Kalshi trading bot in Python — targets BTC Up/Do...
Frozen reference snapshot (Oct 2026) of a self-hosted AI operations stack — Discord bot + RAG + automation scripts on...
Production-ready multi-agent AI system: 8 specialized agents with self-healing, crash recovery, and Board-First coord...
A more autonomous, more persistent, and easier alternative to OpenClaw/Hermes. Give it a task and it will carry it...