Developer Geoff McCaughan released Sidekick, a self-hosted AI agent platform with persistent memory and 70 MCP tools that can extend itself without code changes. The platform runs on a remote machine,…
Google published a whitepaper co-written by Addy Osmani on the agentic software development lifecycle, detailing how agents function as a model plus a harness, with context engineering and verificatio…
A developer argues that AI should be designed rather than trusted, advocating for systems that provide only necessary facts to prevent hallucinations. The approach, developed through trial-and-error w…
Google Cloud published the Open Knowledge Format (OKF), a specification for structuring knowledge as a folder of Markdown files with YAML frontmatter and links, designed to be readable by AI agents. T…
Software companies are racing to integrate agent workflows into vertical products, driven by user expectations for features like multi-agent sessions, context management, and version control. To diffe…
RobinReach built guardrails for its MCP tools that give AI agents write access to user apps while preventing cross-tenant data leaks. The system scopes credentials at the API/auth layer per account an…
AgentBack, an AI-native API and MCP framework for building agent services, has been released as an alpha, ESM-only package requiring Node 22.13+ and TypeScript 6. Built on LoopBack 4's dependency-inje…
A developer has added a local setup harness to the A-Modular-Kingdom (AMK) project that automatically configures local AI agents to connect to the AMK MCP server. The harness includes a bootstrap scri…
A developer identified a critical failure mode in the Model Context Protocol (MCP) where agents log success despite tasks never executing. The issue occurs when MCP servers return null results inside …
Equixly launched a Model Context Protocol integration that embeds its continuous penetration testing platform directly into AI coding assistants like GitHub Copilot and Claude, allowing developers to …
OWASP released AISVS 1.0, a security checklist with 514 verifiable requirements for AI systems, at Global AppSec Vienna. The standard fills a gap by providing testable controls for prompt injection, M…
A developer building an agentic genealogy research system argues that LLM hallucination is not a bug but a feature of the probabilistic mechanism, and that the real problem is architectural: using LLM…
Developer lucasepe built kctx, a read-only Kubernetes context engine designed to provide structured operational facts for humans, scripts, and AI agents. The tool compiles live cluster state into comp…
AwsmAudio, a WebAudio editor with native MCP support, was released on GitHub. The tool allows both humans and AI agents to create and control synthesized sounds programmatically, targeting creative co…
AI-generated code has reached parity with median software engineers, according to a substack post by Charity. The author argues that this shift demands more engineering discipline, not less, drawing p…
BridgeX API argues that AI agents require native messaging infrastructure rather than traditional SMS APIs, proposing the Model Context Protocol (MCP) to make messaging AI-native.…
A developer built The Gauntlet, an open-source Next.js 16 app that connects seven MCP servers through a LangChain multi-agent pipeline and lets users toggle eight failure modes live during execution. …
Mozilla released an experimental MCP server for MDN Web Docs, enabling AI tools and IDEs to access up-to-date documentation and browser compatibility data. The server addresses the problem of AI model…
A team's support triage agent suffered a prompt regression that caused it to reply to all emails for hours, highlighting the need for least-privilege access control in AI agent fleets. The Nylas secur…
Anthropic's Model Context Protocol (MCP) standardizes how LLM-powered applications connect to data sources, replacing custom integrations with a single interface. The protocol uses JSON-RPC 2.0 and su…