#mcp

A popular Reddit post pushed MemPalace into the main AI feed, but the repo’s own correction note became the more interesting part: 96.6% is the raw offline score, while 100% depends on optional reranking.

A LocalLLaMA post with 117 points spotlights AgentHandover, a Mac menu-bar app that watches repeated workflows, turns them into agent-executable Skills, and keeps the whole pipeline local with MCP hooks for Codex, Claude Code, and other compatible tools.

GitHub said on April 1, 2026 that Agentic Workflows are built around isolation, constrained outputs, and comprehensive logging. The linked GitHub blog describes dedicated containers, firewalled egress, buffered safe outputs, and trust-boundary logging designed to let teams run coding agents more safely in GitHub Actions.

GitHub said in a March 31, 2026 X post that programmable execution is becoming the interface for AI applications, linking to its March 10 Copilot SDK blog post. GitHub says the SDK exposes production-tested planning and execution, supports MCP-grounded context, and lets teams embed agentic workflows directly inside products.

Anthropic said on March 30, 2026 that computer use is now available in Claude Code in research preview for Pro and Max plans. Claude Code docs say the feature lets Claude open apps, click through UI flows, and see the screen on macOS from the CLI, targeting native app testing, visual debugging, and other GUI-only tasks.

GoogleCloudTech posted a demo on March 27, 2026 showing Gemini CLI using Model Context Protocol (MCP) servers to migrate and deploy a full-stack application. Google's September 11, 2025 Gemini CLI extensions post and December 11, 2025 MCP support announcement show that the demo is built on /deploy for Cloud Run, managed MCP endpoints for Google services, and enterprise controls such as IAM, audit logs, and Model Armor.

Cursor said on March 25, 2026 that cloud agents can now run on customer infrastructure while preserving the same agent harness and workflow experience. Cursor's product post says the generally available setup keeps code, tool execution, and build artifacts inside the customer's network while still giving agents isolated remote environments, multi-model support, and plugin/MCP extensibility.

OpenAI Devs said on March 26, 2026 that plugins are rolling out in Codex, letting the agent work with common tools such as Slack, Figma, Notion, and Gmail. OpenAI's Codex docs describe plugins as reusable bundles that package skills, app integrations, and MCP server settings, turning Codex into a more shareable workflow layer for teams.

GitHub said AI coding agents can now invoke secret scanning through the GitHub MCP Server before a commit or pull request. The feature is in public preview for repositories with GitHub Secret Protection enabled.

A LocalLLaMA discussion around OpenCode shows why developers are experimenting with open, model-agnostic coding agents even when closed systems still lead on raw frontier performance.

Google says Gemini CLI now includes a read-only Plan mode that analyzes requests, codebases, and dependencies before any edits happen. The update also adds an ask_user tool and read-only MCP access so teams can clarify requirements and pull in outside context without risking accidental changes.

A fresh Hacker News thread pushed Chrome DevTools MCP back into view because it lets coding agents attach to an already running Chrome session instead of starting from a clean browser. Google’s December 11, 2025 update combines Chrome 144 remote-debugging controls with an --autoConnect flow in the MCP server, making it easier to hand an in-progress DevTools investigation to an agent.