justvugg

Hi everyone, I built cli-use, a small Python tool that turns any MCP server into a native CLI. The idea is simple: HTTP has curl, Docker has docker, Kubernetes has kubectl — MCP should have a shell-native client too.…

I built dbcli, a lightweight database CLI designed specifically for AI agents that need fast, low-overhead access to relational databases. The main idea is to make database introspection and querying simple and…

Hi everyone, I’d like to share a tool I built, called dbcli. It’s a database CLI designed specifically for AI agents, enabling them to understand and interact with any database using a single command. Whether you're…

I built Wiredigg, an open-source network traffic analysis and security tool written in Python. It combines real-time packet capture, protocol inspection, machine learning-based anomaly detection, and local LLM analysis…

PolyMCP is a framework that exposes functions (in Python or TypeScript) as MCP tools, serves them through standardized MCP servers, and orchestrates them with autonomous agents capable of planning and executing complex…

Hi everyone, I have created EasyMemory: a lightweight, fully local memory backend for chatbots, agents and any MCP-compatible LLM (Claude, GPT, Gemini, Ollama…). Key points: • Auto-saves every conversation • Ingests…

Hi HN, Built llm-use: a lightweight Python toolkit for efficient agent workflows with multiple LLMs. Core pattern: strong model (Claude/GPT-4o/big local) for planning + synthesis; cheap/local workers for parallel…

I built PolyMCP, a framework and runtime for exposing Python functions as MCP tools, serving them via standardized MCP servers, and orchestrating them with autonomous agents that can plan and execute multi‑step…

I built PolyClaw, an autonomous agent for the PolyMCP ecosystem inspired by OpenClaw. PolyClaw doesn’t just call tools. It plans, executes, adapts — and even creates MCP servers when needed. It’s designed for…

I built PolyClaw, an OpenClaw-inspired autonomous agent for the PolyMCP ecosystem. PolyClaw doesn’t just call tools. It plans, executes, adapts — and creates MCP servers when needed. It’s designed for real multi-step,…

I’ve been working on PolyMCP, an open-source framework designed to make it easier to build and coordinate agents using the Model Context Protocol (MCP). Most MCP tooling today focuses primarily on exposing tools.…

Hi everyone, I’ve been working on PolyMCP, an open-source framework for building and orchestrating agents using the Model Context Protocol (MCP). Most of the tooling around MCP focuses on exposing tools. With PolyMCP,…

Hi everyone, I am Vincenzo and i’m working on PolyMCP, an open-source framework that not only exposes Python functions as AI-callable MCP tools but also lets you orchestrate agents across multiple MCP servers. The idea:…

PolyMCP now supports compiling Python MCP tools to WebAssembly using Pyodide. This means any Python function exposed as an MCP tool can now run directly in the browser, Node.js, or edge workers, fully sandboxed, without…

Hi HN, I built PolyMCP, an open-source framework around the Model Context Protocol (MCP) that lets you expose existing Python functions as AI-callable tools — without rewriting them or adopting a custom SDK. The goal is…

I built PolyMCP, an open-source framework that lets any Python function become an MCP tool usable by AI agents — no rewrites, decorators, or custom SDKs needed. Features: • Expose Python functions as MCP tools (core…

I built PolyMCP, an open-source framework around the Model Context Protocol (MCP) that lets you turn any existing Python function into an MCP tool usable by AI agents — with no rewrites, no glue code, no custom…

I built llm-use, an open-source tool to run AI agent workflows across multiple LLMs with routing and cost optimization. Repo: https://github.com/llm-use/llm-use OpenClaw-style agents are powerful but get expensive if…

Hi everyone, I built EasyMemory, an open-source Python library that provides a fully local-first memory layer for chatbots and agent-based systems, with no cloud dependency. Most existing agent memory solutions rely on…

I built llm‑use, an open‑source Python framework for orchestrating large language model workflows across local and cloud models with smart routing, cost tracking, session logs, optional web scraping, and optional MCP…