Wigolo: MCP server giving LLM coding tools live web access with crawling and caching
Wigolo is an open-source MCP server that runs locally and provides LLM coding tools (Claude Code, Cursor, Codex, Gemini CLI) with ten web tools: multi-engine search with reranking, page fetching for JavaScript-heavy sites and PDFs, whole-docs-site crawling, structured extraction, and persistent local caching. It solves the problem of LLMs relying on stale training data by giving them real-time web access.
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Chinvat: local MCP labor hub for governed multi-model task delegation
Chinvat is a free, open-source local MCP labor hub for Windows that allows any MCP-capable coordinator (e.g., Claude Code, Claude Desktop, Codex, Cursor, Hermes) to delegate work to local models, remote specialist models, Windows itself, and communication/publishing channels. It provides a persistent job queue, artifacts, and a policy layer that governs what crosses the bridge, solving the problem of managing multiple AI models and tools from a single governed interface.
Local MCP labor hub for delegating work to models and tools
Chinvat is a free, open-source local MCP labor hub for Windows that provides a single server for MCP-capable coordinators (e.g., Claude Code, Claude Desktop, Codex, Cursor, Hermes) to delegate work to local models, remote specialist models, Windows itself, and communication/publishing channels. It includes a persistent job queue, artifacts, and a policy layer that decides what crosses the bridge, solving the problem of managing multiple connections and tools from a single interface.
Upload project folder to get optimized markdown for LLM context
A web tool that lets users upload an entire project folder and receive a single, clean, optimized markdown file ready to paste into Claude or Codex. It solves the problem of manually preparing context for LLMs by automatically consolidating and formatting code files. All processing is done client-side for privacy.
LLM hardware recipe database with filters and community usage tracking
A community-driven database that lists which LLM models run on which hardware, with performance details. Users can filter by hardware, submit new recipes, and mark which recipes they actively use to show popularity. It solves the problem of finding compatible model-hardware combinations for LLM deployment.
Snitch: deterministic claim verifier for AI agent transcripts
Snitch is a tool that watches AI agent transcript files (Cursor, Claude Code, Codex, Pi, OpenCode) and verifies claims made in prose against actual evidence like tool calls, shell output, filesystem changes, git history, and session context. It uses deterministic regex patterns to extract claims and cross-references them, flagging inconsistencies. It helps developers trust their coding agents by catching when an agent's description doesn't match reality.