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[Release] openclaw/openclaw v2026.4.15-beta.1: OpenClaw 2026.4.15-beta.1
OpenClaw v2026.4.15-beta.1 introduces significant enhancements across control UI, memory management, and security. Key additions include OAuth token health monitoring, cloud storage support for LanceDB memory indexes, GitHub Copilot embedding provider integration, and experimental lean mode for local models. The release focuses on security hardening with credential redaction, symlink protection, and improved authentication handling, alongside numerous bug fixes for CLI configuration, memory access control, and provider failover logic.
- Model Auth status card displays OAuth token health and provider rate-limit pressure with expiration alerts, backed by cached `models.authStatus` gateway method
- LanceDB memory now supports cloud storage for durable indexes on remote object storage instead of local disk only
- GitHub Copilot embedding provider added for memory search with dedicated host helper for plugin reuse and safer payload validation
- +7 more key points...
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Agent Teams
See all 5 →[Release] crewaiInc/crewAI 1.14.2a4: 1.14.2a4
crewAI v1.14.2a4 is a patch release introducing resume hints to devtools for improved failure handling. The release addresses critical bug fixes including strict mode forwarding to Bedrock Converse API, a pytest security vulnerability (GHSA-6w46-j5rx-g56g), and updates the OpenAI dependency lower bound to >=2.0.0. This alpha release maintains stability while preparing for the full 1.14.2 version.
greysonlalonde
[Release] crewaiInc/crewAI 1.14.2a5: 1.14.2a5
crewAI version 1.14.2a5 is a minor alpha release that updates the changelog and version information from the previous v1.14.2a4 release. This is a maintenance update focused on documentation consistency. The release includes contributions from @greysonlalonde.
greysonlalonde
Connect AutoGen to Real AI 🤖 | Agentic AI |Groq API Setup & First Agent (Step-by-Step)
This tutorial demonstrates how to integrate AutoGen agents with the Groq API, a real LLM provider, moving beyond basic setups. It covers the complete workflow from API configuration to deploying functional agents that leverage Groq's fast inference capabilities. The video provides step-by-step guidance on connecting AutoGen's multi-agent framework to production-ready language models.
Nidhi Chouhan
Integrations
See all 4 →[Release] langchain-ai/langchain langchain-openai==1.1.13: langchain-openai==1.1.13
langchain-openai version 1.1.13 is released with critical bug fixes and improvements. Key changes include handling content blocks without type keys in responses API conversion, fixing token extraction in usage metadata, and allowing user-provided User-Agent headers to override Azure defaults. The release also includes security updates (Pygments CVE), model profile refreshes, and VCR cassette playback fixes for CI testing.
github-actions[bot]
OpenJarvis vs OpenClaw -- Which Local AI Stack Wins? #shorts
This video compares OpenJarvis, Stanford's new local-first AI framework, with OpenClaw. Both are designed to run AI models entirely on-device without cloud dependencies. The comparison evaluates which local AI stack offers better performance, ease of use, and practical advantages for developers and users seeking privacy-preserving AI solutions.
GPTAIclips
AI-powered Fuel Price Intelligence Agent using Cloud Run for Google Gen AI Academy APAC 2026.
This project demonstrates an AI-powered Fuel Price Intelligence Agent built for Google Cloud Gen AI Academy APAC 2026, leveraging Cloud Run and Google's generative AI capabilities. The agent intelligently monitors and analyzes fuel price trends, providing real-time insights and predictions. It showcases best practices for deploying scalable AI agents on Google Cloud infrastructure with serverless computing.
Boomika Suresh Kumar
Skills & Tools
See all 4 →[Release] langchain-ai/langchain langchain-core==1.2.29: langchain-core==1.2.29
LangChain Core version 1.2.29 has been released with updates and bug fixes since version 1.2.28. This release includes a port of changes from PR #36725, indicating improvements or fixes to core functionality. The release maintains backward compatibility while enhancing the framework's capabilities for AI agent development.
github-actions[bot]
Windsor.ai for Manus | Connect 335+ Data Sources
Windsor.ai is now integrated with Manus, enabling users to connect 335+ marketing, sales, and business data sources. This integration allows seamless data aggregation from multiple platforms into a unified system. The demo showcases the capabilities and setup process for leveraging Windsor.ai's extensive data source library within the Manus platform.
Windsor_ai
AI Agents Meet Lightning: Setting Up a Lightning Node with OpenClaw
This video demonstrates how to integrate an OpenClaw AI agent with a Lightning Network node, enabling autonomous cryptocurrency operations. The setup allows AI agents to manage their own Lightning node infrastructure for payment processing and network participation. The guide covers the essential configuration and deployment steps needed to connect an AI agent framework with Lightning Network capabilities.
Lightning Labs
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