Top Story
[Release] anthropics/claude-code v2.1.110: v2.1.110
Claude Code v2.1.110 introduces significant UI/UX improvements including a new `/tui` command for flicker-free fullscreen rendering, push notification capabilities, and enhanced plugin management. The release includes numerous bug fixes addressing MCP server reliability, session management, and performance issues, plus improvements to command accessibility from Remote Control clients and better handling of distributed tracing.
- New `/tui fullscreen` command enables flicker-free rendering in the same conversation with improved terminal output handling
- Push notification tool added — Claude can send mobile notifications when Remote Control and 'Push when Claude decides' config are enabled
- Improved `/plugin` tab shows items needing attention and favorites at the top, with disabled items hidden behind a fold
- +7 more key points...
By Topic
Agent Teams
See all 5 →AutoGen + OpenRouter (FREE LLM) 🔥 Build AI Agents Step-by-Step | Full Beginner Guide
This beginner-friendly guide teaches how to build AI agents using AutoGen framework combined with OpenRouter for free LLM access. The course covers step-by-step agent development, enabling users to create powerful autonomous agents without expensive API costs. The accompanying GitHub repository provides complete code examples and resources for hands-on learning.
Nidhi Chouhan
How Microsoft AutoGen Is Used to Build Multi-Agent AI Systems #wealthbuilding #wealthmindset
Microsoft AutoGen is a framework that enables multiple AI agents to communicate, coordinate, and collaborate to solve complex problems together. The platform allows agents to have conversations, share information, and work toward common goals in a structured multi-agent system. AutoGen simplifies the development of sophisticated AI applications by handling agent orchestration, message passing, and coordination logic automatically.
AI Scale Logic
慕课网AI Agent 企业应用全能实战 2 11 【知识解码】AutoGen：让 AI 学会“开会”
This lesson from Mooc.com's AI Agent Enterprise Application course focuses on AutoGen, a framework that enables AI agents to collaborate through multi-agent conversations. AutoGen allows AI systems to learn how to 'hold meetings' by implementing agent-to-agent communication patterns, enabling complex task solving through coordinated dialogue between multiple AI entities. The framework provides tools for orchestrating agent interactions, managing conversation flows, and achieving collaborative problem-solving at enterprise scale.
几米课堂
Skills & Tools
[Release] langchain-ai/langchain langchain-text-splitters==1.1.2: langchain-text-splitters==1.1.2
langchain-text-splitters version 1.1.2 is released with critical security and stability improvements. Key changes include deprecating unsafe URL transport in favor of SSRF-safe alternatives, fixing silent data loss in RecursiveJsonSplitter for empty dict values, and addressing CVE-2026-4539 through pygments version constraints. The release also includes dependency updates (langsmith, pytest, nltk, requests) and performance optimizations for CI/CD pipelines.
github-actions[bot]
Manus My Computer: Built a macOS App From an iPhone
Manus AI launched 'My Computer,' a feature enabling AI agents to control local desktops remotely. The review demonstrates how this macOS app allows an AI agent to interact with your computer, execute tasks, and automate workflows. This represents a significant step toward practical AI agent deployment on personal devices, bridging the gap between cloud-based AI and local machine control.
TechWealth Hub
How to Create an MCP Server and Connect it to a Google ADK Agent
This guide demonstrates how to build an MCP (Model Context Protocol) server using FastMCP and integrate it with a Google ADK agent. The process involves creating tools, exposing them through the MCP server, and connecting them to enable the agent to interact with external services. Key steps include setting up FastMCP, defining callable tools, and configuring the Google ADK agent to communicate with the MCP server.
Sumit Paul
MCP Servers
[Release] openclaw/openclaw v2026.4.15-beta.2: openclaw 2026.4.15-beta.2
OpenClaw v2026.4.15-beta.2 introduces Anthropic model updates with Claude Opus 4.7 as the default and new Gemini text-to-speech support in the Google plugin. The release includes improvements to gateway tool handling with enhanced security for local media tool-result passthrough and stricter validation of client tool definitions. Key enhancements focus on model defaults, TTS capabilities, and tool registration robustness.
steipete
[Release] langchain-ai/langchain langchain-openai==1.1.14: langchain-openai==1.1.14
langchain-openai version 1.1.14 was released with a critical security fix for SSRF (Server-Side Request Forgery) vulnerabilities in image token counting. The release includes dependency updates for pytest, langsmith, and pillow libraries. This patch addresses potential security risks when processing images through the OpenAI integration.
github-actions[bot]
[Release] langchain-ai/langchain langchain-core==1.2.31: langchain-core==1.2.31
LangChain Core version 1.2.31 has been released with changes ported from the main branch. This patch release includes bug fixes and improvements from PR #36816 that were backported to the v1.2 branch. The release maintains backward compatibility while addressing issues identified in the previous 1.2.30 version.
github-actions[bot]
Security
[Release] openai/openai-agents-python v0.14.1: v0.14.1
OpenAI Agents Python v0.14.1 is a maintenance release focusing on bug fixes and documentation improvements. Key fixes include sanitizing tracing export payloads, preserving computer driver compatibility for modifier keys, shielding server-managed handoffs from unsupported history rewrites, and stopping streamed tool execution after input guardrail violations. The release also includes documentation clarifications on ToolContext availability and CI improvements.
seratch
[Release] langchain-ai/langchain langchain-core==1.2.30: langchain-core==1.2.30
LangChain Core version 1.2.30 has been released with security improvements and bug fixes. The primary change includes hardening of private SSRF (Server-Side Request Forgery) utilities to enhance security. This is a patch release following version 1.2.29, focusing on stability and protection against potential security vulnerabilities.
github-actions[bot]
Memory Systems
[Release] openai/openai-agents-python v0.14.0: v0.14.0
OpenAI's openai-agents-python v0.14.0 introduces Sandbox Agents, a beta feature enabling agents to run in persistent, isolated workspaces with file access, command execution, and cross-run continuity. The release includes multiple execution backends (local, Docker, hosted providers), workspace management with snapshots and resume capabilities, sandbox memory for learning across runs, and comprehensive examples. Runtime enhancements provide tracing, session lifecycle management, and seamless integration with the existing Agent and Runner framework.
sdcoffey
Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis
Agent-cache is a multi-tier caching solution for AI agents that unifies LLM responses, tool results, and session state caching across Valkey and Redis. It provides framework adapters for LangChain, LangGraph, and Vercel AI SDK with built-in OpenTelemetry and Prometheus monitoring. The solution addresses fragmentation in existing tools by supporting multiple caching tiers and frameworks without requiring additional modules, working on vanilla Valkey 7+ and Redis 6.2+.
kaliades
Coding Workflows
Multi-Agent Systems
Tool Use
Memory & Identity
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