Gladys 4.73: Major Matter.js Upgrade, Local Tuya & MCP Server
Gladys 4.73 ships a major Matter.js upgrade, the first foundation for Local Tuya, energy and MCP improvements, and a more stable Airplay.
2,194 stories
Gladys 4.73 ships a major Matter.js upgrade, the first foundation for Local Tuya, energy and MCP improvements, and a more stable Airplay.
Most agent safety controls are advisory until they sit on the tool-call path. VellaVeto is positioned as a runtime proxy for MCP tools: every call is evaluated against policy before execution, and policy failures deny the call. That fail-closed posture matters for agents that can read files, call Sa
Prompt injection becomes operationally dangerous when an agent can both read secrets and make network or tool calls. Pipelock addresses that boundary problem by sitting between the agent, MCP servers, and the network. This article is for developers running coding agents locally or in CI who want a p
Agents often need credentials to be useful. They also read files, execute tools, and ingest untrusted content. That combination makes plaintext API keys in .env files, shell profiles, and agent config a poor default. Pincer-MCP takes a proxy-token approach: the agent receives a limited token, while
MCP tools are not just code endpoints. Their names, descriptions, and schemas are fed to the model so it can decide what to call. That makes tool metadata part of the instruction channel. Tool shadowing and poisoned descriptions abuse that trust by hiding instructions where users rarely look but mod
10Web and Duda target the same buyer: web professionals and agencies. Both offer AI-powered site building, white-label capability, multi-site management, and bundled hosting. On a feature checklist, the comparison produces a near-tie. The real difference is architectural.
Data from 1,281 agent runs across 40+ large open source repos reveals five repeatable failure patterns in coding agents, and the infrastructure fixes for each.
Half the APIs that matter have no OpenAPI file. The catalog has to start from code, not from paperwork.
A knowledge engine is the data infrastructure category that lets agents query trusted, compiled knowledge instead of brute-forcing retrieval over raw data. How one is built, how agents query it, and how it compares to RAG, vector databases, and semantic layers.
GitHits CLI is here. Install in one command and give agents 14 tools for code search, package inspection, documentation, and grounded open-source examples.
Six bad releases, a packaging bug that pruned 1,617 files, broken crons, and 5.4 finally stable. Every OpenClaw release from late April through May 5.
A perspective on ChatGPT advertising as scarce shelf space, how assistant recommendations differ from search results, and what that means for brands.
Learn what an AI agent gateway is, how it differs from an LLM gateway, and why autonomous agents need centralized routing, guardrails, and observability.
A few months ago, I was reviewing a pull request that added three new API endpoints. The diff was clean. Tests passed. The agent that generated it had even written sensible authorisation checks. By ev
Most AI deployments give every employee their own copilot and stop there. Team-in-the-loop treats the entire team as the agent's operating context — shared memory, shapeless knowledge, and a single agent exposed through every interface.
The Marble MCP server is now available, making it easier to connect AI agents and MCP clients directly to your Marble workspace.
Stop switching between 5 tools to manage servers. We tested 6 SSH clients for Mac across real workflows. See which saves you time in 2026.
kubectl hands you one object at a time, as raw YAML. Here are five questions - relationships, isolation, image contents, history, posture - where that runs out of road.
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