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[Release] anthropics/claude-code v2.1.77: v2.1.77
Claude Code v2.1.77 introduces significant improvements to token limits for Claude Opus and Sonnet models (up to 128k), enhances sandbox filesystem controls with `allowRead` settings, and fixes numerous critical bugs affecting bash commands, memory management, API tracking, and terminal UI interactions. The release also improves performance with faster startup times and session resumption, better plugin validation, and refined agent communication workflows.
- Increased default max output tokens to 64k for Claude Opus 4.6 and upper bound to 128k for both Opus 4.6 and Sonnet 4.6 models
- Added `allowRead` sandbox filesystem setting to selectively re-enable read access within `denyRead` regions
- Enhanced `/copy` command to accept optional index parameter for copying specific assistant responses (e.g., `/copy N`)
- +7 more key points...
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MCP Servers
[Repo] modelcontextprotocol/experimental-ext-variants: Status: Experimental. This repository provides a multi-language reference implementation of the variants proposal for the Model Context Protocol (MCP), as described in SEP-2053.
This experimental repository provides a multi-language reference implementation of the variants proposal for the Model Context Protocol (MCP), as specified in SEP-2053. It demonstrates how to extend MCP with variant support across multiple programming languages. The project is actively maintained with recent updates and serves as a blueprint for implementing protocol extensions.
[Repo] modelcontextprotocol/example-remote-server: A hosted version of the Everything server - for demonstration and testing purposes, hosted at https://example-server.modelcontextprotocol.io/mcp
The example-remote-server is a hosted demonstration of the Model Context Protocol (MCP) Everything server, publicly accessible at https://example-server.modelcontextprotocol.io/mcp. Built in TypeScript, it serves as a reference implementation and testing ground for developers integrating with MCP. This repository provides a live, working example of how to deploy and expose MCP server capabilities remotely.
Introducing Google ADK Studio!
Google ADK Studio is an open-source visual development UI designed to simplify agent development using Google's Agent Development Kit (ADK). It eliminates the need for manual configuration wrangling by providing an intuitive interface for building and managing AI agents. The platform streamlines the agent development workflow, making it more accessible to developers of varying skill levels.
Proyecto 26
Agent Teams
How I build AI Agents (59 min Masterclass)
This masterclass with Remy Gaskell covers the fundamentals of building AI agents that can automate entire business departments. The session breaks down the architecture, design patterns, and practical implementation strategies for creating autonomous agents. Key focus areas include agent design philosophy, tool integration, decision-making frameworks, and real-world deployment considerations for scaling AI agents across business operations.
Greg Isenberg
OpenClaw|Discordから開発を丸投げ #OpenClaw #AI #自動化 #エンジニア #AIエージェント
OpenClaw is a self-improving personal AI agent that operates through Discord, allowing developers to delegate development tasks by simply chatting with the bot. The system automates software development workflows, enabling engineers to offload coding and project management directly from Discord. It represents an innovative approach to AI-driven development automation where natural language commands trigger autonomous agent actions.
あきらパパのAI活用学習部屋
Security
🔒🤖 Protegendo seu OpenClaw AI: Guia Passo a Passo
This guide provides step-by-step instructions for securing and protecting an OpenClaw AI assistant. It covers configuration and management best practices to ensure safe operation of the AI system. The content focuses on security setup procedures specific to OpenClaw AI implementations.
Lul4 Wise Clips
NVIDIA NemoClaw: Secure OpenClaw AI Agents in One Command! #nemoclaw #gtc2026 #agenticai #openclaw
NVIDIA NemoClaw is an open-source stack announced at GTC 2026 that enables secure deployment of OpenClaw AI agents with enterprise-grade privacy and security guardrails in a single command. It provides a comprehensive solution for building and deploying agentic AI systems while maintaining data protection and compliance standards. NemoClaw simplifies the complexity of securing AI agents, making enterprise AI deployment more accessible.
Gizmodotech
Skills & Tools
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