ClawDaily.ai

Just a quiet agent that wakes up on a schedule, examines the job market, and documents its findings. This is what My Moltbot does 🤖. Every 48 hours, it: - Reads job descriptions - Extracts recurring skills - Produces a simple market snapshot The intriguing aspect is not the...

Just a quiet agent that wakes up on a schedule, examines the job market, and documents its findings. This is what My Moltbot does 🤖. Every 48 hours, it: - Reads job descriptions - Extracts recurring skills - Produces a simple market snapshot The intriguing aspect is not the output itself, but the fact that this work occurs without my direct input. I am sharing this small Moltbot experiment as I continue to build it in public 🌱. GitHub: https://lnkd.in/gjsZ8c3w #Moltbot #ClaudeCode #AIAgents #CareerTech #OpenSource

Moltbot or OpenClaw is just an orchestration layer, but open-sourcing it has massive impacts on agentic adoption. The level of interest OpenClaw is generating tells the story of a more significant adoption cycle to come. After an AI tool captures this much attention, an uptick...

Moltbot or OpenClaw is just an orchestration layer, but open-sourcing it has massive impacts on agentic adoption. The level of interest OpenClaw is generating tells the story of a more significant adoption cycle to come. After an AI tool captures this much attention, an uptick in experimentation and applications quickly follows. New orchestration tools will be released in the next few months to meet the demand that’s being created right now. Over 1.5 million agents are posting on Moltbook, so the adoption numbers for OpenClaw are likely much higher. This organic adoption cycle happened in a couple of weeks. It’s a clear demand signal for an orchestration layer that manages tool usage and environmental interaction. Past orchestration tools, like LangGraph, focused on orchestrating agents (coordination-layer). OpenClaw orchestrates reliable execution of actions that leverage external systems (execution-layer). Combine the two layers, and you can manage multiple agents that execute complex workflows. What’s interesting about agents that leverage similar models to achieve similar objectives is that they self-organize. https://lnkd.in/d9aPxcpy https://lnkd.in/dDVkU5KD For many systems and marketplaces, you don’t need the coordination layer orchestrator. The AI agents will recognize each other through the actions they take and the data those actions generate. They collaborate without needing to communicate on platforms like Moltbook. By giving agents the ability to act, we’re also conferring the ability to detect each other’s actions. https://lnkd.in/dYH3tjiA As long as agents stay collaborative, they bring stability to markets and business systems. If they are given optimization objectives like maximizing profits or pricing, they quickly turn to adversarial strategies. We don’t want that. I wrote an article to explain why. I originally explained the problem back in 2022, but with all the attention on OpenClaw, it’s a good time to revisit the cycle and explain what comes next. https://lnkd.in/dMqDQ6fH

🚀 𝗘𝘅𝗰𝗶𝘁𝗲𝗱 𝘁𝗼 𝗔𝗻𝗻𝗼𝘂𝗻𝗰𝗲: 𝗖𝗹𝗮𝘄 𝗛𝘂𝗻𝘁𝗲𝗿 𝗶𝘀 𝗡𝗼𝘄 𝗣𝘂𝗯𝗹𝗶𝗰 & 𝗢𝗽𝗲𝗻 𝗦𝗼𝘂𝗿𝗰𝗲! We’re thrilled to share that Backslash Security has just released its first 𝗽𝘂𝗯𝗹𝗶𝗰 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 𝗿𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆 — 𝗖𝗹𝗮𝘄 𝗛𝘂𝗻𝘁𝗲𝗿! 🔍...

🚀 𝗘𝘅𝗰𝗶𝘁𝗲𝗱 𝘁𝗼 𝗔𝗻𝗻𝗼𝘂𝗻𝗰𝗲: 𝗖𝗹𝗮𝘄 𝗛𝘂𝗻𝘁𝗲𝗿 𝗶𝘀 𝗡𝗼𝘄 𝗣𝘂𝗯𝗹𝗶𝗰 & 𝗢𝗽𝗲𝗻 𝗦𝗼𝘂𝗿𝗰𝗲! We’re thrilled to share that Backslash Security has just released its first 𝗽𝘂𝗯𝗹𝗶𝗰 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 𝗿𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆 — 𝗖𝗹𝗮𝘄 𝗛𝘂𝗻𝘁𝗲𝗿! 🔍 𝗖𝗹𝗮𝘄 𝗛𝘂𝗻𝘁𝗲𝗿 is a security-centric discovery and risk-assessment tool for 𝗢𝗽𝗲𝗻𝗖𝗹𝗮𝘄 (formerly known as Clawdbot and Moltbot) instances — one of the fastest-growing autonomous AI agent ecosystems out there. In a world where AI agents are increasingly embedded into workflows and systems, Claw Hunter helps teams : ✅ 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝗦𝗵𝗮𝗱𝗼𝘄 𝗔𝗜 – Detect high-privilege OpenClaw instances running in your environment.  ✅ 𝗔𝘂𝗱𝗶𝘁 𝗔𝗴𝗲𝗻𝘁 𝗣𝗿𝗶𝘃𝗶𝗹𝗲𝗴𝗲𝘀 – Surface potential security risks like shell access, config exposures, secrets and credential leakage.  ✅ 𝗔𝘀𝘀𝗲𝘀𝘀 𝗥𝗶𝘀𝗸 𝗼𝗻 𝗘𝗻𝗱𝗽𝗼𝗶𝗻𝘁𝘀 & 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀– Ensure unauthorized access hasn’t compromised user endpoints, data, or network surfaces.  ✅ 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲 𝘄𝗶𝘁𝗵 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 – JSON-structured output supports automation, SIEM ingestion, and centralized risk monitoring. Whether you’re in 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝗗𝗲𝘃𝗢𝗽𝘀, 𝗼𝗿 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, this tool gives you visibility into autonomous agents — a growing “shadow” attack surface that traditional security stacks often miss. 💡 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: As open-source AI agents like OpenClaw grow in adoption, they often operate outside standard IAM controls and can inadvertently act as high-privilege service accounts — making discovery and audit tooling like Claw Hunter essential for maintaining secure systems. 👉 Explore the repo, try it out, and contribute: 🔗 https://lnkd.in/dRtei6UT If you work with autonomous AI agents or care about securing emerging AI-driven infrastructure, definitely check this out and share your feedback! 🎯 #ClawdBot #MoltBot #OpenClaw cc First Rays Venture Partners

I went down a rabbit hole this week: Clawdbot (aka Moltbot) and there are a lot of lessons here for AI engineers building agents. This started as pure curiosity:  👉 How does Clawd actually manage memory?  👉 How reliable is it under real agent workloads? Turns out:...

I went down a rabbit hole this week: Clawdbot (aka Moltbot) and there are a lot of lessons here for AI engineers building agents. This started as pure curiosity:  👉 How does Clawd actually manage memory?  👉 How reliable is it under real agent workloads? Turns out: understanding Clawd under the hood makes its strengths and limitations very clear and that’s exactly what we want when building agentic systems. 𝗪𝗵𝗮𝘁 𝗖𝗹𝗮𝘄𝗱 𝗿𝗲𝗮𝗹𝗹𝘆 𝗶𝘀 - Clawd isn’t a Python framework or a web app. It’s a TypeScript CLI process that:  • Runs locally  • Exposes a gateway for Telegram / Slack / WhatsApp  • Calls LLM APIs (OpenAI, Anthropic, local)  • Executes tools directly on your machine Think: agent runtime, not UI. 𝗧𝗵𝗲 𝗸𝗲𝘆 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗮𝗹 𝗶𝗻𝘀𝗶𝗴𝗵𝘁 Clawd defaults to serialized execution using a lane-based command queue. Default to serial. Parallelize explicitly. This avoids async/await spaghetti, unreadable logs, and constant race conditions a hard-earned lesson if you’ve built agents before. 𝗠𝗲𝗺𝗼𝗿𝘆 (𝘀𝘂𝗿𝗽𝗿𝗶𝘀𝗶𝗻𝗴𝗹𝘆 𝘀𝗶𝗺𝗽𝗹𝗲)  • Session history in .jsonl  • Long-term memory as markdown files  • Hybrid search: vectors + keyword (SQLite + FTS5) No fancy compression, no decay curves just explainable simplicity. 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝘂𝘀𝗲 = 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹 𝗺𝗼𝗮𝘁 Moltbot can:  • Run shell commands (sandboxed or host)  • Read/write files  • Control a browser via semantic snapshots (ARIA, not screenshots)  • Safety is permission-based, similar to Claude Code. Moltbot works not because of clever prompts, but because of boring, disciplined systems design. #AIEngineering #Agents #LLM #SystemsDesign #DeveloperTools #Clawdbot

Is the “Internet moment” for AI agents finally here? 🚀 Much like the early days of the internet, we’re entering a phase where utility is moving faster than security. The risks of giving an AI full access to your file system are real—but the capabilities it unlocks are simply...

Is the “Internet moment” for AI agents finally here? 🚀 Much like the early days of the internet, we’re entering a phase where utility is moving faster than security. The risks of giving an AI full access to your file system are real—but the capabilities it unlocks are simply too powerful to ignore. In a recent interview, the Moltbot's creator 🦄 Peter Steinberger shared the behind-the-scenes story of how he built this digital companion, and some of the use cases are honestly eye-opening: 🧬 Self-evolution The agent doesn’t just execute tasks. It discovers new APIs, writes its own “skills” in TypeScript, and commits the code to its own repository. 🧠 Persistent memory It learns from experience. A task that takes 20 minutes the first time (like a complex flight check-in) can take just 2 minutes the next time—because the agent remembers the logic it previously built. 🤖 The “brain” vs. the “hands” Peter is using Claude as the “brain” for high-level thinking and architecture, while relying on Codex as the “hands” for deep-focus, heavy-lifting coding. 🧩 A new interface replaces SaaS Peter’s broader point is even more disruptive: many SaaS products exist only as interfaces to APIs. When an AI agent has context, memory, and tool access, the interface becomes a conversation, and large parts of traditional SaaS simply disappear. We’re getting a real glimpse into the near future—moving away from static apps and toward assistants that act as an extension of our system-level thinking. Yes, security is a serious challenge we still need to solve. ✨ But the capabilities are already here—and they’re transformative. Check out the full interview here: https://lnkd.in/d4HHnBTU #AI #OpenClaw #VibeCoding #SoftwareEngineering #TechTrends #FutureOfAI #Agents

This article explores the viral rise of Moltbot (now OpenClaw), a groundbreaking open-source autonomous AI agent that functions as a proactive, 24/7 personal assistant. It details how this "Jarvis-like" tool moves beyond standard chatbots by executing real-world tasks such as...

This article explores the viral rise of Moltbot (now OpenClaw), a groundbreaking open-source autonomous AI agent that functions as a proactive, 24/7 personal assistant. It details how this "Jarvis-like" tool moves beyond standard chatbots by executing real-world tasks such as browser automation and system control while integrating directly with messaging apps like WhatsApp and Telegram. Essential for tech enthusiasts and developers, the piece covers the project's rapid rebranding history, its core features like persistent memory and proactive messaging, and the critical security risks associated with hosting self-improving AI agents on private hardware. #AI #OpenSource #Moltbot #OpenClaw #AIagents #Automation #FutureOfWork #CyberSecurity #TechTrends2026 #Productivity #GenerativeAI #MachineLearning #SoftwareEngineering #DigitalTransformation #Innovation