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Honeystax/OpenClawOpenClaw

🦞OpenClawThe board builders scan before they commit to this stack.

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.

15 featured picks270 builds with real repo pull13 live lanes to scan
621Tracked Builds
1.7MRepo Stars
13Builder Lanes
Read the boardcodeOpen official source
rocket_launch

Fastest Way Into OpenClaw

1. Install

pip install open-interpreter

Requires Python 3.10+. The core runtime for OpenClaw-compatible assistants.

2. Run

interpreter

Opens 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.

code GitHubmenu_book Docspackage_2 PyPI
menu_book

Complete Setup Guide

From zero to your own AI assistant — no experience needed

1download

Install Python

You need Python 3.10 or 3.11 — other versions cause issues

  1. a

    Check your current version

    python3 --version

    If 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.

  2. 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

2folder

Set Up a Virtual Environment

Keeps Open Interpreter isolated — skip this and you'll regret it

  1. a

    Create the environment

    python3 -m venv interpreter_env

    This creates a folder called interpreter_env with its own Python. Your system Python stays untouched.

  2. b

    Activate it

    Mac/Linux:

    source interpreter_env/bin/activate

    Windows:

    interpreter_env\Scripts\activate

    You'll see (interpreter_env) in your terminal prompt. That means it's working.

3terminal

Install Open Interpreter

One command — takes about 30 seconds

  1. a

    Install via pip

    pip install open-interpreter

    Make sure your virtual environment is activated first (you should see (interpreter_env) in your prompt).

  2. b

    Verify it installed

    interpreter --version

    You should see a version number. If you get "command not found", try python3 -m interpreter instead.

4key

Set Up Your API Key

Or skip this entirely and use a free local model (step 6)

  1. 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).

  2. b

    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-here
  3. c

    Save money with GPT-3.5

    interpreter --model gpt-3.5-turbo

    GPT-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.

5play_arrow

Your First Run

Try these to see what it can do

  1. a

    Launch it

    interpreter

    You'll see a chat prompt. Type naturally — it understands plain English.

  2. 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 it

    It writes and runs code to accomplish each task. You'll be asked to approve before it executes anything.

  3. c

    Auto-approve mode (skip confirmations)

    interpreter -y

    The -y flag auto-approves all code execution. Only use this when you trust the task — it can modify files and run shell commands.

6computer

Run Locally — Free & Private

No API key needed. Your data never leaves your machine.

  1. a

    Install Ollama

    Download from ollama.com. One-click install on Mac/Windows/Linux.

  2. b

    Pull a model

    ollama pull llama3.1

    Llama 3.1 8B is a great starting point (~4.7GB download). For better results with more RAM, try ollama pull llama3.1:70b.

  3. c

    Run Open Interpreter with your local model

    interpreter --local

    It auto-detects Ollama and uses your downloaded model. Zero API costs. Fully private — nothing leaves your machine.

lightbulbHardware tip: 8B models need ~8GB RAM. 70B models need ~48GB RAM. If your machine struggles, stick with 8B — it handles most tasks well.

7extension

Extend with the Ecosystem

Skills, plugins, memory, and desktop apps

Once you're comfortable with the basics, explore the tools below. The OpenClaw ecosystem includes:

build Skills

Custom commands that teach your assistant new abilities — from web scraping to data analysis.

extension Plugins

Connect to external services — Slack, email, calendars, databases, and more.

memory Memory Systems

Give your assistant long-term memory so it remembers your preferences and past conversations.

desktop_windows Desktop Apps

GUI interfaces that make Open Interpreter feel like a native app instead of a terminal tool.

rocket

Starter Packages

Pick a use case. Get the command. Start building in 60 seconds.

desktop_windows

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 --os

Try 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
code

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 --loop

Try 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
lock

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/codestral

Try 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
group

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 install

Try this

"Create a crew: researcher finds the top 5 competitors, analyst compares their pricing, writer produces a markdown report with recommendations"

crewaicrewai[tools]chromadbuvlangchain
analytics

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-4o

Try 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
folder_managed

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 -y

Try 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
auto_awesome

Where OpenClaw is winning

The strongest lanes in this ecosystem, ranked by visible public proof.

Lead builds

hubCore & Alternatives

6 tracked builds

525k ★
Leadopenclaw383k★#2nanobot46k★#3chatgpt-on-wechat42k★#4nanoclaw30k★#5ironclaw13k★#6awesome-openclaw-usecases12k★
Lead builds

buildSkills

6 tracked builds

28k ★
Leadawesome-openclaw-skills22k★#2skillshare2.4k★#3awesome-openclaw-skills-zh1.2k★#4openclaw-skills990★#5x-research-skill939★#6model-hierarchy-skill321★
Lead builds

extensionPlugins

6 tracked builds

17k ★
Leadclawhub9.1k★#2buildwithclaude3.2k★#3dingtalk-openclaw-connector2.1k★#4openclaw-china1.0k★#5openclaw-wechat925★#6openclaw-plugin-wecom251★
Lead builds

psychologyMemory Systems

6 tracked builds

52k ★
LeadOpenViking26k★#2memU14k★#3MemOS10k★#4powermem708★#5OpenClaw Supermemory581★#6MoltBrain363★
Lead builds

dnsInfrastructure

6 tracked builds

81k ★
Lead1Panel36k★#2openfang18k★#3moltworker9.9k★#4ClawWork7.5k★#5ClawRouter6.7k★#6OpenClawInstaller3.0k★
Lead builds

desktop_windowsDesktop & Dashboard

4 tracked builds

12k ★
LeadClawX7.5k★#2clawra2.0k★#3VisionClaw1.6k★#4openclaw-mission-control1.1k★
list

OpenClaw board

(20)

Filter the ranked board by type, timing, and proof signal.

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20 signals found

Auto-claude-code-research-in-sleep
MCP Server

ARIS (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review lo...

Stack favorite13k repo stars4017 builder votes
Stack favoriteReal repo gravity. Builders already treat this as a serious reference point.

ARIS (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.. An open-source mcp server for the AI coding ecosystem.

U
MemOS
MCP ServerOpenClaw Memory

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, w...

Stack favorite10k repo stars3063 builder votes
Go, Python, Redis, OpenAI, LLM, Docker
Stack favoriteReal repo gravity. Builders already treat this as a serious reference point.
UUniversalGo, Python, Redis, OpenAI, LLM, Docker

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings. An open-source mcp server for the AI coding ecosystem.

clawdcursor
MCP Server

clawdcursor compiles whatever's on screen into one UI map — accessibility tree and OCR fused into stable, addressable...

Builder signal390 repo stars39 builder votes
Builder signalGetting enough attention to influence how people assemble their stack.
Cursor AI

clawdcursor compiles whatever's on screen into one UI map — accessibility tree and OCR fused into stable, addressable elements, with a screenshot only when needed — then drives apps through reusable scripts, verifying every action and routing it through a single safety gate.

kindly-web-search-mcp-server
MCP ServerCode & Search

Kindly Web Search MCP Server: Web search + robust content retrieval for AI coding tools (Claude Code, Codex, Cursor,...

Builder signal355 repo stars36 builder votes
Python, Go, Claude, LLM, Docker
Builder signalGetting enough attention to influence how people assemble their stack.
Python, Go, Claude, LLM, Docker

Kindly Web Search MCP Server: Web search + robust content retrieval for AI coding tools (Claude Code, Codex, Cursor, GitHub Copilot, Gemini, etc.) and AI agents (Claude Desktop, OpenClaw, Hermes, etc.). Supports Serper, Tavily, and SearXNG.

U
caura-memclaw
MCP Server

Governed shared memory for AI agent fleets — multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, a...

Builder signal312 repo stars31 builder votes
Builder signalGetting enough attention to influence how people assemble their stack.
UUniversal

Governed shared memory for AI agent fleets — multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.

DashClaw
MCP Server

The governance runtime for AI agents. Intercept actions, enforce guard policies, require approvals, and produce au...

Builder signal284 repo stars28 builder votes
Builder signalGetting enough attention to influence how people assemble their stack.

The governance runtime for AI agents. Intercept actions, enforce guard policies, require approvals, and produce audit-ready decision trails.

O
OnionClaw
MCP Server

Provide AI agents with full Tor network access and dark web data through a zero-config OpenClaw skill or standalone t...

Builder signal221 repo stars22 builder votes
Builder signalGetting enough attention to influence how people assemble their stack.
OOpenClaw

Provide AI agents with full Tor network access and dark web data through a zero-config OpenClaw skill or standalone tool.

ClawMem
MCP Server

On-device memory layer for AI agents. Claude Code, Hermes and OpenClaw. Hooks + MCP server + hybrid RAG search.

Builder signal191 repo stars19 builder votes
Builder signalGetting enough attention to influence how people assemble their stack.

On-device memory layer for AI agents. Claude Code, Hermes and OpenClaw. Hooks + MCP server + hybrid RAG search.

open-second-brain
MCP Server

Local-first memory for Hermes Agent that lives in your Obsidian vault and remembers project context. Nightly dr...

Builder signal121 repo stars12 builder votes
Builder signalGetting enough attention to influence how people assemble their stack.

Local-first memory for Hermes Agent that lives in your Obsidian vault and remembers project context. Nightly dream passes turn repeat corrections into confirmed preferences with measurable confidence. Adapters ship for Claude Code, Codex, and OpenClaw, with an MCP server for anything else.

O
tweetclaw
MCP Server

OpenClaw plugin to search tweets, search replies, post tweets, export followers, manage media, monitor X/Twitter, and...

Rising build85 repo stars9 builder votes
Rising buildEarly proof is forming around this project before it turns obvious.
OOpenClaw

OpenClaw plugin to search tweets, search replies, post tweets, export followers, manage media, monitor X/Twitter, and run giveaway draws via Xquik.

socialclaw
MCP Server

Social media scheduling CLI and OpenClaw skill for AI agents posting to X, LinkedIn, Instagram, Facebook Pages, TikTo...

Rising build58 repo stars6 builder votes
Rising buildEarly proof is forming around this project before it turns obvious.

Social media scheduling CLI and OpenClaw skill for AI agents posting to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, and Pinterest.

ai-memory-mcp
MCP Server

Persistent memory for any AI — MCP server, HTTP API, CLI. Works with Claude, ChatGPT, Grok, Gemini, Codex, Cursor, Op...

Rising build35 repo stars4 builder votes
Rising buildEarly proof is forming around this project before it turns obvious.

Persistent memory for any AI — MCP server, HTTP API, CLI. Works with Claude, ChatGPT, Grok, Gemini, Codex, Cursor, OpenClaw, and any MCP client. 97.8% R@5 on LongMemEval. Pure SQLite FTS5, zero cloud dependencies.

U
HealthClawGuardrails
MCP Server

Open-source guardrails between AI agents and FHIR clinical data — PHI redaction, immutable audit, step-up auth, tenan...

Rising build26 repo stars3 builder votes
Rising buildEarly proof is forming around this project before it turns obvious.
UUniversal

Open-source guardrails between AI agents and FHIR clinical data — PHI redaction, immutable audit, step-up auth, tenant isolation. MCP server + OpenAI/Gemini adapters. A healthclaw.io project.

nora
MCP Server

Self-hosted control plane to deploy, monitor, and operate OpenClaw and Hermes AI agents on Docker/Kubernetes — with R...

Early signal20 repo stars2 builder votes
Early signalNew enough that sharp builders can still get ahead of the crowd here.

Self-hosted control plane to deploy, monitor, and operate OpenClaw and Hermes AI agents on Docker/Kubernetes — with REST, CLI, and MCP.

agentic-swmm-workflow
MCP Server

Agentic SWMM is an automated, auditable, and memory-informed framework for reproducible stormwater modelling, integra...

Early signal19 repo stars2 builder votes
Early signalNew enough that sharp builders can still get ahead of the crowd here.

Agentic SWMM is an automated, auditable, and memory-informed framework for reproducible stormwater modelling, integrating QGIS and EPA SWMM through the aiswmm runtime, reusable Skills, and MCP interfaces, with QA verification, provenance tracking, calibration support, and Codex, Hermes, Claude code as well as OpenClaw compatibility

skills
MCP Server

Curated, trusted open catalog of AI agent skills for OpenClaw, Claude Code, Codex, GitHub Copilot, Gemini, Cursor, MC...

Early signal18 repo stars2 builder votes
Early signalNew enough that sharp builders can still get ahead of the crowd here.

Curated, trusted open catalog of AI agent skills for OpenClaw, Claude Code, Codex, GitHub Copilot, Gemini, Cursor, MCP, LangChain, and more. Browse, install, and verify reusable agent workflows.

m3-memory
MCP Server

Local-first Memory Framework for AI Agents · 99.2% LongMemEval-S retrieval @ k=10 · Supports Claude · Gemini · Antigr...

Early signal15 repo stars2 builder votes
Early signalNew enough that sharp builders can still get ahead of the crowd here.

Local-first Memory Framework for AI Agents · 99.2% LongMemEval-S retrieval @ k=10 · Supports Claude · Gemini · Antigravity · OpenCode · OpenClaw · Hermes · MCP-native and plugins · Hybrid search (FTS5 + vector + MMR) · GDPR · FIPS 140-3 ready · 100% local (fully offline) or cloud capable

U
ClawQL
MCP Server

MCP server: search + execute over OpenAPI 3, Swagger 2, or Google Discovery, with optional internal GraphQL for lean...

Early signal12 repo stars1 builder vote
Early signalNew enough that sharp builders can still get ahead of the crowd here.
UUniversal

MCP server: search + execute over OpenAPI 3, Swagger 2, or Google Discovery, with optional internal GraphQL for lean API responses. Bundled multi-provider specs (GCP top 50, Cloudflare, Jira, GitHub, Slack, Sentry, n8n) let agents discover operations without loading full API definitions into context.

O
memorycrystal
MCP Server

Persistent memory for AI agents — OpenClaw plugin + MCP server

Early signal9 repo stars1 builder vote
Early signalNew enough that sharp builders can still get ahead of the crowd here.
OOpenClaw

Persistent memory for AI agents — OpenClaw plugin + MCP server

MeiGen-AI-Design-MCP
MCP Server

Turn Claude Code and OpenClaw into a powerful design assistant with local ComfyUI, API integration, and a large pr...

Early signal7 repo stars1 builder vote
Early signalNew enough that sharp builders can still get ahead of the crowd here.

Turn Claude Code and OpenClaw into a powerful design assistant with local ComfyUI, API integration, and a large pro prompt library.

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