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Run OpenClaw Models Locally and Cap Your Costs
This content promotes a comprehensive OpenClaw course covering 82 lessons on running OpenClaw models locally to reduce costs. The course includes complete installation, configuration, channel setup, and skill development. It emphasizes cost optimization by running models on local infrastructure rather than relying on expensive cloud services.
- OpenClaw enables running AI models locally to significantly reduce operational costs compared to cloud-based solutions
- Complete course includes 82 structured lessons covering all aspects of OpenClaw implementation
- Installation and configuration are foundational steps covered in the course curriculum
- +4 more key points...
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Agent Teams
See all 7 →OpenClaw’s Creator Shows How AI Builds OpenClaw
Peter Steinberger demonstrates how OpenClaw's development team leverages AI agents to build and maintain the OpenClaw platform itself. The presentation showcases practical applications of AI-driven development workflows, including automated task execution and agent-based maintenance processes. This represents a meta-example of AI agents being used to develop AI agent infrastructure.
AI Signal
Google ADK Tutorial: Setup, First Agent & the Complete ADK Web Tour | Gen AI Series #15
This tutorial covers Phase 3 of Google ADK (Agent Development Kit) setup, including installation, project folder structure, and building a first agent. It provides a complete walkthrough of the ADK web interface and demonstrates practical agent development workflows. The content is part of a broader Gen AI series focused on agent development fundamentals.
Nishcodezz
OpenClaw: One AI Task Ran for 18 Days #Shorts
OpenClaw executed an autonomous AI task that ran continuously for 18 days, generating over 100 pull requests without human intervention. This demonstrates the capability of AI agents to handle long-running, complex development workflows at scale. The extended execution showcases both the potential and challenges of autonomous AI systems in software development.
AI Signal
Integrations
107 | Deploy AI Agent to Google Cloud Run | Google ADK Tutorial | Step-by-Step Deployment
This tutorial demonstrates how to deploy an AI agent built with Google Agent Development Kit (ADK) to Google Cloud Run. The video covers the complete deployment workflow, including containerization, configuration, and running the agent on Google's serverless platform. It's part of a comprehensive series on building and deploying AI agents using Google Cloud infrastructure.
Implovate
MANUS 2.0: Seu próximo treinamento pode VIRAR um VÍDEO ou JOGO com IA
MANUS 2.0 is an AI platform that transforms training content into interactive videos and games. The platform offers 1,000 free credits through a referral link and enables users to convert educational materials into engaging multimedia experiences. This represents a significant evolution in how organizations can deliver training content using AI-powered automation.
Karine Lago
Build AI agents in plain Kotlin: Google's ADK hits 1.0 #shorts
Google's Agent Development Kit (ADK) has reached version 1.0 with full Kotlin support, enabling developers to build AI agents in plain Kotlin for both server and Android platforms. This release makes AI agent development more accessible to Kotlin developers without requiring additional languages or frameworks. ADK 1.0 provides a unified approach to agent development across different deployment targets.
Tech Trek
Memory & Identity
Gonta-ganti model AI bikin AI agent gampang halusinasi? Rahasianya ada di file SOUL.md #aiagent
Video ini membahas bagaimana pergantian model AI dapat menyebabkan AI agent mengalami halusinasi dan kehilangan arah. Solusinya terletak pada penggunaan file SOUL.md yang berfungsi sebagai 'kepribadian' atau 'identitas' inti dari AI agent. File ini membantu menjaga konsistensi perilaku agent terlepas dari perubahan model yang digunakan. Dengan mengimplementasikan SOUL.md dengan benar, developer dapat membuat AI agent yang lebih stabil dan tahan terhadap perubahan model.
cim_labs
AI: AI Agents Have Tools... But Where's the Brain?
While AI agents are often discussed in terms of tools, MCPs, and APIs, the critical missing piece is the agent's reasoning capability—its 'brain.' This video explores why tool availability alone doesn't create effective agents and emphasizes that the quality of decision-making, planning, and reasoning is what truly distinguishes capable AI agents from simple tool-calling systems.
ITBasics4U
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