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[Release] openai/openai-agents-python v0.19.1: v0.19.1
OpenAI Agents Python v0.19.1 is a maintenance release focused on bug fixes and stability improvements across sandbox path handling, audio diagnostics, WebSocket error handling, model execution, memory management, and tracing. Key fixes address streamed model input handling, guardrail task cancellation, SQLite session counting, and batch trace processing. Documentation updates include URL corrections, tracing integration links, and standardization of decorator usage in examples.
- Native host paths now supported in sandbox path grants for improved file system access flexibility
- Redacted sensitive Realtime audio format diagnostics and Blaxel unmount paths from logs for security
- WebSocket server errors now retry properly with pre-response error handling
- +7 more key points...
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Agent Teams
See all 5 →Jack Dorsey's Buzz: The New Hermes Agent?
Jack Dorsey's Block has released Buzz, an open-source, agent-native chat application built on an open protocol. The platform is designed to enable AI agents to interact natively within a chat environment. This represents a shift toward decentralized, protocol-based agent communication infrastructure. Buzz aims to provide an alternative to traditional centralized chat platforms by prioritizing agent interoperability and openness.
Greg Isenberg
AI Operating System from Scratch Using Claude & OpenClaw
This video demonstrates how to build an AI Operating System from scratch using Claude and OpenClaw. It covers the foundational concepts, architecture, and practical implementation steps for creating intelligent applications that leverage AI capabilities. The tutorial provides hands-on guidance for developers looking to understand and implement AI OS principles.
MyAiForThat
LangChain vs LangGraph vs CrewAI vs AutoGen | Which AI Agent Framework Should You Choose?
This content compares four major AI agent frameworks: LangChain, LangGraph, CrewAI, and AutoGen. It appears to be an introductory video that guides viewers on choosing the right framework for their AI agent development needs. The video likely covers the strengths, use cases, and differences between these frameworks to help developers make informed decisions.
Hope Artificial Intelligence
MCP Servers
[Release] langchain-ai/langchain langchain-anthropic==1.5.3: langchain-anthropic==1.5.3
langchain-anthropic version 1.5.3 was released with three key fixes. The update preserves empty thinking fields during signature_delta streaming, strips unsupported fields from system message content blocks, and addresses compatibility issues. This patch release improves stability and correctness when working with Anthropic's API, particularly for streaming scenarios and system message handling.
github-actions[bot]
Google Antigravity SDK: Building Gemini Agents with MCP Integration in Python
This guide covers building Gemini agents using Google's Antigravity SDK with Model Context Protocol (MCP) integration in Python. It demonstrates how to install the SDK, configure Gemini models, and integrate MCP servers to extend agent capabilities. The tutorial enables developers to create intelligent agents that can interact with external tools and data sources through a standardized protocol.
Alex To Go Eng
Integrations
[Release] langchain-ai/langchain langchain-core==1.5.2: langchain-core==1.5.2
langchain-core version 1.5.2 is a patch release that fixes a critical bug handling empty strings in gateway environment variables. The release includes routine dependency updates for setuptools and jupyterlab across the core and text-splitters libraries. This update ensures proper environment variable parsing and maintains compatibility with the latest tool versions.
github-actions[bot]
Pare de Pagar APIs! Aprenda a Usar o OpenClaw com NVIDIA Gratuita #openclaw
This video tutorial demonstrates how to install and use OpenClaw on Portainer with free NVIDIA AI models, eliminating the need to pay for API services. The guide covers the installation process, configuration, and practical usage of OpenClaw as a cost-effective alternative to commercial AI APIs. Users can leverage NVIDIA's free models through this open-source solution for their AI agent development needs.
Inteligência Artificial | KloxAI Academy
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