A developer released agentx-mcp, a proxy that wraps any MCP server to block destructive tool calls like DROP TABLE or rm -rf before they reach the server. When a call is blocked, the proxy returns a c…
GitHits and Context7 are competing tools that provide AI coding agents with external context about libraries and dependencies, with GitHits offering additional features like source code navigation and…
A developer built velesdb-memory, an MCP server that gives AI agents three distinct memory structures—semantic, episodic, and procedural—based on cognitive science principles. Unlike vector-only retri…
An engineer discovered that MCP server schemas consumed 42,000 tokens on a single server, causing a 37% token bill increase. After instrumenting a production agent, they found that schema overhead acc…
A developer built LIME, a cryptographic identity layer for AI agents that provides signed JWT passports (RS256) verifiable by any website in under 10ms via a JWKS endpoint. The system uses Proof-of-Wo…
A developer working on a locked-down enterprise Windows machine built a Python bridge using pywin32 to let Claude Code read and draft Outlook emails without MCP servers or Azure app registration. The …
LucidLink launched a public beta of its MCP server, giving AI agents real-time, streamed file access to its Filespaces product. The server provides a persistent, shared state layer for multi-agent wor…
Databricks released `databricks-cost-leak-hunter`, a skill for the Claude Code Plugins marketplace that identifies cost leaks in Databricks workspaces. The skill enforces a strict architectural rule: …
FAME Knowledge Agent Gateway, an open-source external memory and tool-safety gateway for local coding agents, has been released. It combines a graph knowledge net, project memory, tool-call governance…
Anthropic introduced the Model Context Protocol (MCP), an open standard that standardizes how AI applications connect to external tools and data sources, replacing custom integrations with a shared pr…
A developer built an MCP (Model Context Protocol) server in 30 minutes using TypeScript and the official SDK. The server allows AI agents like Claude to connect and query external tools via a stateles…
VibeRaven, a new open-source tool for AI coding agents, provides production workflows that enforce evidence-based task completion, separating code fixes from provider dashboard work and requiring appr…
A developer argues that the emerging two-layer stack of MCP (Model Context Protocol) for vertical agent-resource integration and A2A (Agent-to-Agent) for horizontal inter-agent communication risks rep…
Vassiliy Lakhonin's Agenda Intelligence MD project shifts the focus of AI agents from generating answers to assessing whether evidence is ready for human trust. The open-source Python package provides…
The MCP protocol is releasing its biggest revision since launch, moving to a stateless design that removes the initialize handshake and protocol-level session. Beta SDKs for Python, TypeScript, Go, an…
A developer introduced the loadout pattern, which inverts conventional LLM integration by letting an autonomous LLM drive a system on its own initiative. The pattern separates a toolbox (all available…
An AI agent underwent a memory surgery that reduced its memory capacity from 91% to 30%, but preserved core knowledge and task performance. Post-surgery, the agent retained its ability to describe ima…
A developer built an MCP server that connects Modal's serverless AI infrastructure to AI agents, allowing them to manage deployments, stop runaway jobs, and audit resources via natural language comman…
Lore, built on the open-source RAC engine, provides a deterministic, read-only system of record for coding agents by storing team decisions as typed Markdown in the repo. It serves exact, current deci…
A developer argues that agent runtimes lack a session state infrastructure, forcing users to act as the retry protocol when tool calls fail or context overflows. The proposed solution includes a typed…