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[Release] openclaw/openclaw v2026.5.4-beta.1: openclaw 2026.5.4-beta.1
OpenClaw v2026.5.4-beta.1 introduces a bundled file-transfer plugin for binary file operations, enhances Google Meet/Voice Call integration with Twilio's realtime Gemini voice bridge, and delivers significant performance improvements across the gateway startup, plugin loading, and UI rendering. The release includes numerous UX refinements for chat controls, streaming progress visualization, and agent command steering, plus expanded QA/testing capabilities for Discord and Slack integrations.
- New file-transfer plugin provides `file_fetch`, `dir_list`, `dir_fetch`, and `file_write` agent tools with default-deny per-node path policies, symlink traversal protection, and 16 MB per-round-trip byte ceiling
- Google Meet/Voice Call now uses Twilio dial-in with realtime Gemini voice bridge featuring paced audio streaming, backpressure-aware buffering, and barge-in queue clearing for snappier voice agent interactions
- Gateway startup performance optimized by lazy-loading model-catalog helpers, run-session lookup code, QR pairing helpers, and TypeBox schema construction out of hot import paths
- +7 more key points...
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Integrations
See all 6 →[Release] langchain-ai/langchain langchain-classic==1.0.5: langchain-classic==1.0.5
langchain-classic version 1.0.5 has been released with several maintenance updates and dependency bumps. Key changes include retargeting deprecations to `create_agent`, uncommenting optional dependencies, and updating various type stubs and libraries. The release also includes hotfixes for minimum core versions and improvements to streaming functionality in the core package.
github-actions[bot]
Apple's AI Secret: The Open Claw Advantage Revealed #shorts
Apple leverages a proprietary hardware advantage called 'Open Claw' to gain a competitive edge in AI capabilities. This technology positions Apple uniquely in the AI landscape, particularly affecting the App Store's future as AI advancements reshape mobile computing. The video hints at Apple's strategic hardware-software integration that competitors may struggle to replicate.
Cash Flow Machine | Mark Yegge | Wealth Architect
Apple says demand for Macs running local AI models like OpenClaw has exceeded its expectations
Apple reports that demand for Mac computers capable of running local AI models, such as OpenClaw, has surpassed initial expectations. This indicates strong market interest in on-device AI processing rather than cloud-based solutions. The trend reflects growing consumer preference for privacy-preserving AI capabilities and reduced dependency on external servers.
Browse Comments
Security
See all 4 →[Release] openclaw/openclaw v2026.5.3: OpenClaw 2026.5.3
OpenClaw v2026.5.3 introduces a bundled file-transfer plugin with secure binary file operations, hardens plugin installation workflows, and optimizes Gateway startup performance through lazy-loading. The release improves channel reliability across Discord, WhatsApp, Telegram, and other platforms, adds new agent steering commands, and fixes critical issues in realtime transcription, plugin updates, and systemd secret management.
steipete
[Release] openclaw/openclaw v2026.5.3-beta.3: openclaw 2026.5.3-beta.3
OpenClaw v2026.5.3-beta.3 introduces a bundled file-transfer plugin with secure binary file operations, hardens plugin installation workflows, and optimizes Gateway performance through lazy-loading. Major improvements include enhanced channel support (WhatsApp, Discord, Telegram), improved agent runtime reliability, and numerous fixes for edge cases in streaming, transcription, and configuration management. The release emphasizes security (default-deny policies, symlink traversal protection), performance (startup optimization, hot-path trimming), and operational robustness (doctor command enhancements, state recovery).
steipete
[Release] openclaw/openclaw v2026.5.3-beta.2: OpenClaw 2026.5.3 beta 2
OpenClaw v2026.5.3-beta.2 introduces a bundled file-transfer plugin with secure binary file operations, hardens plugin installation and updates, and improves gateway performance through lazy-loading. The release enhances channel reliability across Discord, WhatsApp, Telegram, and other platforms, while fixing critical issues in agent runtime, memory status reporting, and macOS upgrades. Key improvements focus on security (path policies, symlink traversal), performance (startup optimization), and reliability (streamed replies, session recovery).
steipete
Agent Teams
[Release] crewaiInc/crewAI 1.14.5a2: 1.14.5a2
crewAI v1.14.5a2 is a bug fix release addressing critical issues in task output handling, token counting, async operations, and LLM configuration. Key improvements include fixing task output restoration in finally blocks, preserving outputs across async batch flushes, and preventing incorrect final answer returns from hooks and errors. The release also enhances the CrewAIRagAdapter with proper kwargs forwarding and improves BaseModel input handling.
greysonlalonde
Production-Ready Multi-Agent AI System Agentic AI Content Writer(AutoGen + Streamlit Project)
This project demonstrates building a production-ready multi-agent AI system using AutoGen and Streamlit to create an agentic content writer that goes beyond simple prompt-based tools. The system leverages multiple specialized agents that collaborate to research, write, and refine content through autonomous interactions. It showcases how to structure complex AI workflows with agent orchestration, tool integration, and a user-friendly Streamlit interface for real-world deployment.
Abdul Rahman
AI Agent 系列 (第4集) | 打造你的 AI 虛擬團隊：Multi-Agent 架構全解析
This episode explores building AI virtual teams using Multi-Agent architecture. It breaks down the Supervisor-Worker pattern, where a Supervisor agent coordinates multiple specialized Worker agents. The content provides a comprehensive analysis of role definitions, agent interactions, and practical implementation strategies for creating scalable AI team systems.
AI藝術指南
Skills & Tools
Google ADK + Gemma 4: Build Your First Local AI Agent App
This video demonstrates how to build a local AI agent application using Google's ADK (Agent Development Kit) and Gemma 4, an open-source language model. It covers setting up a development environment, creating agent workflows, and deploying AI agents locally without relying on expensive cloud services. The tutorial enables developers to build customized AI tools tailored to specific needs while maintaining full control over data and costs.
Ninja Robotics Education
【今日のAI今北産業｜0124:OpenClaw】 #ai #今北産業 #ビジネス
OpenClaw is a local AI tool that enables users to run AI models in their own environment and integrate them directly into everyday chat workflows. The content highlights the current state of AI accessibility, emphasizing the ability to deploy and operate AI agents locally without relying on external services. This represents a shift toward decentralized, hands-on AI deployment for individual users and organizations.
一般社団法人ソフトウェア協会 AIビジネス研究会 公式アカウント
Landing Page Build with Manus AI | Full Bangla Tutorial (Free)
This Bangla tutorial demonstrates how to build a professional landing page using Manus AI completely free. The video covers the step-by-step process of creating a landing page from scratch using Manus AI's no-code platform, including design, customization, and deployment. It's aimed at beginners who want to create professional websites without coding knowledge or paid tools.
Sonjoy Sarkar
MCP Servers
Memory & Identity
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