Model Context Protocol (MCP) 3

Local-first desktop control surface and workshop for AI coding agents with persistent memory. Athena is a local-first, open-source desktop control surface and AI workshop designed for AI coding agents. It provides a centralized command room that unifies multiple AI agents like Codex, Claude Code, OpenCode, and Hermes with a shared project context. By utilizing an embedded PTY terminal framework and an MCP bridge, Athena allows AI agents to directly control and interact with the user's workspace. Unlike cloud-dependent tools, Athena keeps all memory, history, and orchestration locally on the user's machine, featuring persistent local memory, session recall, a Tailscale-powered mobile companion app, and system-wide voice dictation.

AI Search Visibility and GEO Optimization platform for AI citation monitoring. Nevar is an AI Search Visibility and GEO (Generative Engine Optimization) platform designed to help brands monitor, verify, and improve how they are mentioned and cited across major AI search engines and answer platforms like ChatGPT, Gemini, and Perplexity. It offers automated solutions, including the Model Context Protocol (MCP) implementation and one-click GEO optimization, to significantly increase a brand's AI mention rate and visibility while reducing issues like AI hallucination.

An ontology-centered Graph RAG platform that structures documents into reusable AI knowledge packs. OpenCrab is an ontology-centered knowledge platform designed for the AI agent era. It enables experts, researchers, and AI builders to transform scattered documents, notes, workflows, and domain expertise into structured, evidence-backed 'ontology packs.' These packs can be searched, shared, and queried by AI agents using Graph RAG and Model Context Protocol (MCP), grounding AI workflows in verifiable, high-quality knowledge graphs.