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Someone paid $6,000 (!) to get OpenClaw setup. So I built a free, open-source alternative: > OpenClaw Operator It's an agent skill + AGENTS.md/CLAUDE.md file that gives Codex/Claude Code the playbooks + validation flow needed to configure your local OpenClaw install. You open your OpenClaw repo/workspace in your coding...

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Dan McAteer

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17,809 görüntüleme • 5 ay önce •via X (Twitter)

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This is actually useful. LangChain just released OpenWiki. It's an open-source agent that creates a wiki for your codebase, connects it to your coding agent, and keeps it updated as your repo changes. Your AI coding agent gets long-term repo context without stuffing everything into CLAUDE.md. Here's how to setup. Save this.
6:18

This is actually useful. LangChain just released OpenWiki. It's an open-source agent that creates a wiki for your codebase, connects it to your coding agent, and keeps it updated as your repo changes. Your AI coding agent gets long-term repo context without stuffing everything into CLAUDE.md. Here's how to setup. Save this.

Min Choi

125,625 görüntüleme • 1 ay önce

Open sourced my OpenClaw🦞 Xteink tamagotchi setup! Includes full instructions for how to purchase your own Xteink, create sprites, flash new firmware, and configure your Openclaw to actually run the skill required to use your tamagotchi! Plus more :) And here’s a demo of all of the sprites I created Link below!
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Open sourced my OpenClaw🦞 Xteink tamagotchi setup! Includes full instructions for how to purchase your own Xteink, create sprites, flash new firmware, and configure your Openclaw to actually run the skill required to use your tamagotchi! Plus more :) And here’s a demo of all of the sprites I created Link below!

Maddie D. Reese

42,626 görüntüleme • 6 ay önce

OpenClaw + Composio -> Daily work podcast my openclaw agent acts like a personal morning newsreader that does all the catching up for me - my emails, slack, support tickets - while I drive to office here's how i set it up in 15 mins: - deployed the repo in my digital ocean droplet - setup api keys and telegram - asked the agent to send me the audio brief everyday completely free and open source:
1:27

OpenClaw + Composio -> Daily work podcast my openclaw agent acts like a personal morning newsreader that does all the catching up for me - my emails, slack, support tickets - while I drive to office here's how i set it up in 15 mins: - deployed the repo in my digital ocean droplet - setup api keys and telegram - asked the agent to send me the audio brief everyday completely free and open source:

Karan Vaidya

235,703 görüntüleme • 6 ay önce

You probably know OpenClaw🦞, one of the fastest-growing open-source projects around. An OpenClaw harness lets you build, code, analyze, and take real control of your machine. But the more access an agent has to your machine, the more it matters where your data goes & who can see it. With QVAC, you can run your OpenClaw agent fully on your own machine in a few minutes. Nothing leaves your computer. Full setup guide on the blog, see first comment below. 💡 Pro tip: already running OpenClaw? Send the blog article to your agent and let the it do the set up.
1:44

You probably know OpenClaw🦞, one of the fastest-growing open-source projects around. An OpenClaw harness lets you build, code, analyze, and take real control of your machine. But the more access an agent has to your machine, the more it matters where your data goes & who can see it. With QVAC, you can run your OpenClaw agent fully on your own machine in a few minutes. Nothing leaves your computer. Full setup guide on the blog, see first comment below. 💡 Pro tip: already running OpenClaw? Send the blog article to your agent and let the it do the set up.

QVAC

15,019,651 görüntüleme • 2 ay önce

The open-source community is INSANE 🤯 Claude Code routines dropped literal hours ago, and this guy's already shipped a clone. Meet Multica Autopilot: Now you can run routines entirely locally using whatever agent you want (Opencode, Codex, Hermes, OpenClaw etc). repo in 🧵↓
1:12

The open-source community is INSANE 🤯 Claude Code routines dropped literal hours ago, and this guy's already shipped a clone. Meet Multica Autopilot: Now you can run routines entirely locally using whatever agent you want (Opencode, Codex, Hermes, OpenClaw etc). repo in 🧵↓

Charly Wargnier

137,175 görüntüleme • 4 ay önce

We gave OpenClaw🦞 a phone number. Call 910-MOLTBOT. you'll get your own OpenClaw instance — personal number, memory, tools, the whole thing. no signup. no app. just a phone call. it just does things. it's an experiment from Deepgram Labs. free to try. Open Source:
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We gave OpenClaw🦞 a phone number. Call 910-MOLTBOT. you'll get your own OpenClaw instance — personal number, memory, tools, the whole thing. no signup. no app. just a phone call. it just does things. it's an experiment from Deepgram Labs. free to try. Open Source:

Deepgram

11,675 görüntüleme • 6 ay önce

Tencent just launched its answer to Claude Computer Use 🤯 QClaw is a personal AI agent that runs locally on your device, sets up in 3 minutes, and takes commands from WhatsApp or Telegram. Built on open-source OpenClaw. Free beta.
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Tencent just launched its answer to Claude Computer Use 🤯 QClaw is a personal AI agent that runs locally on your device, sets up in 3 minutes, and takes commands from WhatsApp or Telegram. Built on open-source OpenClaw. Free beta.

Alvaro Cintas

20,202 görüntüleme • 3 ay önce

This open-source Github repo gives your ClawdBot eyes! 🦞 Real-time AI assistant for Meta Ray-Ban smart glasses. Voice + vision + agentic actions via Gemini Live and OpenClaw Put on your glasses, tap the AI button, and talk: - Gemini sees through your glasses camera and describes the scene - delegates to OpenClaw, which adds it via your connected apps - Can route through OpenClaw to WhatsApp/Telegram/iMessage - web search via OpenClaw, results spoken back The glasses camera streams at ~1fps to Gemini for visual context, while audio flows bidirectionally in real-time.
0:26

This open-source Github repo gives your ClawdBot eyes! 🦞 Real-time AI assistant for Meta Ray-Ban smart glasses. Voice + vision + agentic actions via Gemini Live and OpenClaw Put on your glasses, tap the AI button, and talk: - Gemini sees through your glasses camera and describes the scene - delegates to OpenClaw, which adds it via your connected apps - Can route through OpenClaw to WhatsApp/Telegram/iMessage - web search via OpenClaw, results spoken back The glasses camera streams at ~1fps to Gemini for visual context, while audio flows bidirectionally in real-time.

Rohan Paul

119,665 görüntüleme • 5 ay önce

Introducing watchmen. It writes the skill files your coding agents should already have from your own sessions, shared across Claude Code, Codex, and pi, so you stop paying tokens to re-explain what your agent learned last week. Local and open-source.
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Introducing watchmen. It writes the skill files your coding agents should already have from your own sessions, shared across Claude Code, Codex, and pi, so you stop paying tokens to re-explain what your agent learned last week. Local and open-source.

Dria

43,967 görüntüleme • 3 ay önce

You can run local AI models up to 120B without a $10,000 Mac Studio This phone-sized device is your own server for open-source models. 100% local and private. And you can use it to: - Power an agent like OpenClaw 24/7 - Completely replace a chatbot - Literally anything that requires an API It’s called Tiiny, and, once again, you can run the latest open-source models on it. Link below
16:10

You can run local AI models up to 120B without a $10,000 Mac Studio This phone-sized device is your own server for open-source models. 100% local and private. And you can use it to: - Power an agent like OpenClaw 24/7 - Completely replace a chatbot - Literally anything that requires an API It’s called Tiiny, and, once again, you can run the latest open-source models on it. Link below

Paul Couvert

41,245 görüntüleme • 5 ay önce

THIS GUY BUILT A COMMAND CENTER FOR MANAGING AI AGENT TEAMS he was running 20+ agents through openclaw. all from terminal tabs and Discord. 12 tabs open. still losing track of who's doing what. which cron failed. so he built a dashboard that gives you one place to see everything: > org map showing the full agent hierarchy, who reports to who and what tools each agent has > chat with any agent through a real UI instead of bouncing between terminals > kanban board for tracking tasks across all agents > cron monitor with pipeline visualizations so you can see which jobs are failing > memory browser to read through all agent knowledge files in one place you can even point it at your openclaw workspace and it auto-discovers every agent from their config files. zero setup. AND ITS OPEN SOURCE TOO.
1:06

THIS GUY BUILT A COMMAND CENTER FOR MANAGING AI AGENT TEAMS he was running 20+ agents through openclaw. all from terminal tabs and Discord. 12 tabs open. still losing track of who's doing what. which cron failed. so he built a dashboard that gives you one place to see everything: > org map showing the full agent hierarchy, who reports to who and what tools each agent has > chat with any agent through a real UI instead of bouncing between terminals > kanban board for tracking tasks across all agents > cron monitor with pipeline visualizations so you can see which jobs are failing > memory browser to read through all agent knowledge files in one place you can even point it at your openclaw workspace and it auto-discovers every agent from their config files. zero setup. AND ITS OPEN SOURCE TOO.

Om Patel

46,780 görüntüleme • 5 ay önce

Say hello to open source deep research for your favorite agent harness. Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back a detailed report with citations. See it in Codex below 👇
4:10

Say hello to open source deep research for your favorite agent harness. Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back a detailed report with citations. See it in Codex below 👇

NVIDIA AI

76,354 görüntüleme • 3 ay önce

Coding agents that actually get better the more your team uses them. Introducing Hivemind: continual learning for AI coding agents. Hivemind turns the traces from every agent your team runs (Claude Code, Codex, Cursor, Hermes, OpenClaw, Pi) into reusable skills, then pushes those skills across all of them. All on your cloud storage. Now with SkillOpt built in, your skills get trained: +19.1 points of accuracy in Claude Code, +24.8 in Codex, best or tied on all 52 setups tested. Open source, one line install.
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Coding agents that actually get better the more your team uses them. Introducing Hivemind: continual learning for AI coding agents. Hivemind turns the traces from every agent your team runs (Claude Code, Codex, Cursor, Hermes, OpenClaw, Pi) into reusable skills, then pushes those skills across all of them. All on your cloud storage. Now with SkillOpt built in, your skills get trained: +19.1 points of accuracy in Claude Code, +24.8 in Codex, best or tied on all 52 setups tested. Open source, one line install.

Davit

421,439 görüntüleme • 2 ay önce

🚀 Introducing NemoVideo Skill — The World's First Pro Video Editing Skill for AI Agents If every lobster has a dream, Nemo’s was to stop mopping and start directing. 🦞🎬 Today, that dream ships. NemoVideo Skill, is the world’s first all-in-one professional video editing skill for your OpenClaw agent. What NemoVideo Skill can do for you: 🎬 Research, script, and storyboard — from a single prompt 🎙️ Generate AI voices, auto-mix audio, and source footage ✅ Self-audit and deliver a full timeline — ready to export Huge thanks and respect to OpenClaw🦞 and Peter Steinberger 🦞 for building the infrastructure that makes this possible. ⭐Want to try it? Just tell your OpenClaw: “Install the nemo-video skill from ClawHub.” That’s it. Your lobster will handle the rest. 🦞 ❤️Love what Nemo’s building? Star & rate on GitHub/ClawHub → → Screenshot your star & DM us — we’ll send you free credits! 🎬 Start creating → #NemoVideo #AgenticAI #AIvideo
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🚀 Introducing NemoVideo Skill — The World's First Pro Video Editing Skill for AI Agents If every lobster has a dream, Nemo’s was to stop mopping and start directing. 🦞🎬 Today, that dream ships. NemoVideo Skill, is the world’s first all-in-one professional video editing skill for your OpenClaw agent. What NemoVideo Skill can do for you: 🎬 Research, script, and storyboard — from a single prompt 🎙️ Generate AI voices, auto-mix audio, and source footage ✅ Self-audit and deliver a full timeline — ready to export Huge thanks and respect to OpenClaw🦞 and Peter Steinberger 🦞 for building the infrastructure that makes this possible. ⭐Want to try it? Just tell your OpenClaw: “Install the nemo-video skill from ClawHub.” That’s it. Your lobster will handle the rest. 🦞 ❤️Love what Nemo’s building? Star & rate on GitHub/ClawHub → → Screenshot your star & DM us — we’ll send you free credits! 🎬 Start creating → #NemoVideo #AgenticAI #AIvideo

NemoVideo

108,245 görüntüleme • 5 ay önce

we built the first sane way to debug your agent locally. you can see your traces. codex/claude code can too. this lets them write evals and test your agents automatically. best part: it's completely free and open source. install with 1 line. (github below)
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we built the first sane way to debug your agent locally. you can see your traces. codex/claude code can too. this lets them write evals and test your agents automatically. best part: it's completely free and open source. install with 1 line. (github below)

ben hylak

194,294 görüntüleme • 3 ay önce

So Alibaba has just released a coding plan with all the best open source models You’ve access to Qwen 3.5-Plus, Kimi K2.5, MiniMax M2.5, GLM-5, etc. And you can plug it to: - Claude Code (as I did) - OpenClaw - Codex - Cline… While being waaay cheaper than the paid plan of Codex, Claude & Cie. More below
0:36

So Alibaba has just released a coding plan with all the best open source models You’ve access to Qwen 3.5-Plus, Kimi K2.5, MiniMax M2.5, GLM-5, etc. And you can plug it to: - Claude Code (as I did) - OpenClaw - Codex - Cline… While being waaay cheaper than the paid plan of Codex, Claude & Cie. More below

Paul Couvert

88,333 görüntüleme • 5 ay önce

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this
13:23

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this

Yarchi

56,177 görüntüleme • 2 ay önce

This GitHub repo is gold for anyone running Claude Code/ Codex / Any coding agent at all. My usage limits almost last double since I started using this. An open source context layer that stops your agent from reading 40 files to answer one question. No API key, no billing, no rate limit tiers. Benchmarked against Claude Code baseline: 27x token efficiency, 36% lower cost, 89% fewer file reads, 49% fewer tool calls. Every number is reproducible, the harness is in the repo. 3.5k+ stars. 50k+ pip installs, 30+ contributors, works with Claude Code, Cursor and VS Code out of the box. pip install repowise and point it at your codebase.
0:20

This GitHub repo is gold for anyone running Claude Code/ Codex / Any coding agent at all. My usage limits almost last double since I started using this. An open source context layer that stops your agent from reading 40 files to answer one question. No API key, no billing, no rate limit tiers. Benchmarked against Claude Code baseline: 27x token efficiency, 36% lower cost, 89% fewer file reads, 49% fewer tool calls. Every number is reproducible, the harness is in the repo. 3.5k+ stars. 50k+ pip installs, 30+ contributors, works with Claude Code, Cursor and VS Code out of the box. pip install repowise and point it at your codebase.

Srishti

12,998 görüntüleme • 1 ay önce

OpenClaw just got a desktop app. And nobody's talking about it. It's called Claw X. It's free. And it changes everything about how you use AI agents. Here's the problem it solves: Running OpenClaw required command line. That's like owning a Ferrari but the only way to drive it is reading a manual written in Japanese. Claw X fixes that with a clean desktop UI. One-click install. No terminal. No commands. No tech skills. Here's what you get inside: A dashboard showing your agent's activity, skills, and scheduled tasks all in one place. One-click connections to Telegram, Discord, and WhatsApp. Visual settings for switching AI providers — Anthropic, OpenAI, Google, or even free local models via Ollama. Scheduled task management without touching a single config file. And the setup takes 2 minutes. Just paste the GitHub link into OpenClaw and say "install this." It sets itself up. You've been avoiding OpenClaw because the setup looked complicated. That excuse is
7:43

OpenClaw just got a desktop app. And nobody's talking about it. It's called Claw X. It's free. And it changes everything about how you use AI agents. Here's the problem it solves: Running OpenClaw required command line. That's like owning a Ferrari but the only way to drive it is reading a manual written in Japanese. Claw X fixes that with a clean desktop UI. One-click install. No terminal. No commands. No tech skills. Here's what you get inside: A dashboard showing your agent's activity, skills, and scheduled tasks all in one place. One-click connections to Telegram, Discord, and WhatsApp. Visual settings for switching AI providers — Anthropic, OpenAI, Google, or even free local models via Ollama. Scheduled task management without touching a single config file. And the setup takes 2 minutes. Just paste the GitHub link into OpenClaw and say "install this." It sets itself up. You've been avoiding OpenClaw because the setup looked complicated. That excuse is

Julian Goldie SEO

94,513 görüntüleme • 5 ay önce

Here’s a small demo of an agent I built called Turbo. Turbo perceives what’s on screen and operates MacOS with the mouse and keyboard — like a human. It’s smart and it’s fast (and getting faster). Imagine Clawdbot/Openclaw with Turbo! I’ll likely open-source this, but before I do, I’m looking for someone to join me. DMs are open.
0:27

Here’s a small demo of an agent I built called Turbo. Turbo perceives what’s on screen and operates MacOS with the mouse and keyboard — like a human. It’s smart and it’s fast (and getting faster). Imagine Clawdbot/Openclaw with Turbo! I’ll likely open-source this, but before I do, I’m looking for someone to join me. DMs are open.

Allan

29,783 görüntüleme • 6 ay önce