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LLM-native terminal emulator for macOS — AI components, multi-provider profiles, voice input, Metal GPU rendering
One memory, three terminals. Shared memory layer for Claude Code, Codex, and Gemini CLI — hybrid retrieval (vector + BM25 + KG), session continuity, 40 MCP tools. Local-first, LanceDB-backed.
Large Language Models Python API
A modern, cross-platform Model Context Protocol (MCP) server that enables AI assistants to browse and interact with both Gopher protocol and Gemini protocol resources safely and efficiently.
Orchestrate AI coding agents (Claude, Gemini, Codex) in parallel with git worktree isolation — web UI + CLI
AI coding agent for your terminal. Reads, writes, edits code, runs commands. Any model. 14 kB.
Fast Python web crawler for RAG and AI ingestion. Extracts clean Markdown from any site for LLMs and vector stores.
MCP server that adds RAG-powered AI chat to any website. One command from Claude Code. Local vector store, multi-provider LLM (OpenAI/Anthropic/Gemini). Zero cloud dependency.