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[Release] openclaw/openclaw v2026.5.12: openclaw 2026.5.12
OpenClaw v2026.5.12 is a maintenance release focused on dependency externalization, UI improvements, and stability fixes. Key changes include externalizing AWS Bedrock and plugin dependencies to reduce bloat, adding persistent auto-scroll controls in the UI, implementing ACP fallback backends, and fixing numerous issues across Telegram, Slack, authentication, and session management. The release addresses 40+ bug fixes spanning security, performance, and user experience improvements.
- Externalize Bedrock, Slack, OpenShell, and Anthropic Vertex as optional dependencies so core installations don't pull unnecessary AWS SDK or provider packages
- Add persistent auto-scroll mode selector in Control UI/WebChat with three options: keep current behavior, always follow streaming, or manual control via New messages button
- Implement ACP fallbacks feature allowing configured backup runtime backends when primary backend is unavailable, improving reliability
- +7 more key points...
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See all 10 →[Release] openclaw/openclaw v2026.5.12-beta.6: openclaw 2026.5.12-beta.6
OpenClaw v2026.5.12-beta.6 is a comprehensive bug-fix and security-hardening release addressing 50+ issues across messaging channels, agent sessions, gateway protocols, plugin management, and authentication. Key improvements include fixing iMessage media handling, agent-to-agent messaging reliability, OAuth token exchange for GitHub Copilot, plugin dependency management, and enforcing stricter security controls for device pairing and proxy access. The release prioritizes stability in multi-agent communication, transcript redaction consistency, and dependency isolation while maintaining backward compatibility.
github-actions[bot]
Build Scalable Multi-Agent AI Workflows with Azure AI Foundry
This content provides a comprehensive guide to building scalable multi-agent AI workflows using Azure AI Foundry and the Azure AI Agent Service. It covers the architecture, design patterns, and implementation strategies for creating distributed AI systems that can handle complex tasks through agent collaboration. The tutorial demonstrates how to leverage Azure's managed services to deploy production-ready multi-agent systems with minimal infrastructure overhead.
AfriTech & AfriLeadership
6 AI Agent Tools Better Than OpenClaw in 2026 🤖
This content reviews six AI agent tools that serve as alternatives to OpenClaw for 2026: n8n, Make, LangChain, AutoGen, and CrewAI. These platforms enable developers to build sophisticated automation workflows and multi-agent systems without limitations. The tools offer varying approaches to agent orchestration, from visual workflow builders to code-first frameworks, catering to different use cases and skill levels.
NexGen Learn
Security
[Release] openclaw/openclaw v2026.5.12-beta.7: openclaw 2026.5.12-beta.7
OpenClaw v2026.5.12-beta.7 introduces significant improvements to dependency management by externalizing AWS SDK and plugin dependencies, enhances user experience with persistent auto-scroll controls and ACP fallback backends, and fixes critical issues across Telegram polling, security sandboxing, provider authentication, media handling, and session management. The release addresses 30+ bugs and improvements spanning CLI, gateway, plugins, and multiple integrations while maintaining backward compatibility through deprecated package aliases.
github-actions[bot]
[Release] openclaw/openclaw v2026.5.12-beta.8: openclaw 2026.5.12-beta.8
OpenClaw v2026.5.12-beta.8 introduces significant improvements to dependency management by externalizing AWS SDK and plugin dependencies, enhances user control with persistent auto-scroll modes in the UI, adds fallback runtime backends for ACP, and fixes numerous issues across Telegram integration, session management, security sandboxing, and media handling. The release focuses on performance optimization, security hardening, and improved reliability across multiple subsystems including CLI, gateway, and agent spawning.
steipete
Openclaw + Hermes AI Supervision Trap
A critical perspective on OpenClaw and Hermes AI supervision frameworks, arguing that despite their promise of safe AI agent execution (OpenClaw runs agents, Hermes supervises them), these tools don't address fundamental production readiness concerns. The author maintains skepticism about deploying AI agents in production environments, suggesting that current supervision mechanisms represent a false sense of security rather than genuine risk mitigation.
Big Bro D.C.
Tool Use
[Release] anthropics/claude-code v2.1.141: v2.1.141
Claude Code v2.1.141 is a maintenance release featuring enhanced notification capabilities through `terminalSequence` field, improved environment variable support for workspace identity and HTTPS cloning, and numerous bug fixes across permission handling, plugin management, MCP servers, and UI rendering. Key improvements include better feedback mechanisms, rewind context compression, background agent management, and fixes for terminal compatibility issues on Windows and Linux platforms.
ashwin-ant
J’ai créé une boutique e-commerce COMPLÈTE avec Manus AI — résultat flippant #manus #ai
This video demonstrates building a complete e-commerce store using Manus AI, an AI agent development platform. The creator showcases how Manus AI can automate the entire process of creating a functional online shop, from setup to deployment. The video highlights the impressive capabilities and speed of AI-driven development for e-commerce projects.
Adam Digital Business
MCP Servers
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