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Как подключить Claude Code к сессии OpenClaw #openclaw #ai #агенты
This content discusses connecting Claude Code to an OpenClaw session, emphasizing temporary access as a best practice for AI tools requiring external context. The approach avoids permanent permissions while enabling secure integration between Claude Code and OpenClaw environments.
- Temporary access is a security best practice for AI tools accessing external contexts
- Claude Code can be integrated with OpenClaw sessions for enhanced agent capabilities
- Avoid permanent credentials or permissions when connecting AI tools to external systems
- +3 more key points...
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Agent Teams
See all 7 →I tested 5 agent frameworks. One won.
A comprehensive evaluation of five AI agent frameworks (CrewAI, LangGraph, AutoGen, and two others) tested against real multi-step tasks. The testing revealed significant differences in reliability, ease of use, and production readiness. One framework emerged as the clear winner based on performance in complex scenarios.
Plain Agent
Run 3 AI Agents as One Crew (No Code, Open Source) #shorts
This video demonstrates how to run multiple AI agents as a coordinated crew using open-source tools without coding. Solo creators can automate their entire content workflow by delegating research, writing, editing, and publishing tasks to specialized AI agents that work together seamlessly. The setup enables creators to focus on strategy while agents handle execution.
Zdeno Mucina
Build Your First Agent on Gemini Enterprise Agent Platform (GEAP)
This guide walks through building your first agent on the Gemini Enterprise Agent Platform (GEAP) in 6 simple steps. It covers setting up the complete development environment needed to create and deploy agents on GEAP. The lecture provides a foundational introduction to agent development, focusing on environment configuration and initial setup required before building functional agents.
theailanguage
Security
See all 4 →I Hacked Your AI Agents: Serialization Flaws Explained
This content explores serialization vulnerabilities in AI agents, moving beyond traditional prompt injection attacks. It examines how attackers can exploit serialization flaws to compromise agent integrity, potentially leading to code execution, data leaks, and system compromise. The discussion covers the evolution from behavioral attacks to deeper technical exploits targeting the agent's underlying infrastructure.
LufSec Cyber Security
Two Out of Three Rights
Nvidia and OpenClaw address agentic AI security risks through a two-out-of-three access control mechanism. This approach requires multiple authorization checks before granting sensitive operations, reducing the risk of unauthorized or malicious AI agent actions. The strategy balances security with operational efficiency by preventing single points of failure in AI system access controls.
Guillotine Mind
AI Helped Me Build Advanced Security in 6 Days! #shorts
A non-expert developer used AI assistance to build OpenClaw, an advanced security system, in just 6 days. The project demonstrates how AI can accelerate development of complex systems by handling technical implementation details. This rapid development transformed the developer's career by enabling them to deliver enterprise-grade security solutions without extensive prior expertise.
Healthcare Data Analyst
Skills & Tools
Google ADK 05: Tools In-Depth (Built-in tools, Custom tools and Tool Confirmation)
This video covers Google's Agent Development Kit (ADK) tools in depth, exploring built-in tools, custom tools, and tool confirmation mechanisms. It provides comprehensive guidance on leveraging pre-built tools within the ADK framework and creating custom tools tailored to specific agent needs. The content emphasizes best practices for tool implementation and confirmation workflows to ensure reliable agent behavior.
Yazeed Bashammakh
MCP Server And MCP Client with Google ADK !!
Model Context Protocol (MCP) is an open standard enabling AI agents to communicate with external tools, files, and APIs seamlessly. The video demonstrates implementing MCP servers and clients using Google's Android Development Kit (ADK), showing how to bridge AI systems with external resources. This enables developers to extend AI agent capabilities by connecting them to custom tools and data sources.
AI Tech With ravi
94 | Build AI Agent with Google Cloud Tools using ADK | BigQuery & Cloud Storage | Gemini
This video demonstrates how to build AI agents using Google Cloud tools through the Agent Development Kit (ADK), focusing on integrating BigQuery and Cloud Storage with Gemini. The session covers connecting AI agents to real Google Cloud services, enabling agents to query databases and access cloud storage resources. Viewers learn practical implementation techniques for leveraging Google Cloud's data and storage capabilities within AI agent workflows.
Implovate
Memory Systems
Memory & Identity
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