"OpenAI Gym" matching MCP servers:

Enables notes management, weather and news search, document ingestion and RAG-based semantic search using GroundX, with OpenAI GPT integration for summarization and completions.

Enables a private, local-first AI agent that uses your Obsidian vault as memory, exposing an ask_seastar tool to any MCP host and consuming other MCP servers while running entirely on your machine with any OpenAI-compatible local model.

Enables ChatGPT, Codex, and other AI clients to search, read, create, and carefully update Markdown notes in an Obsidian vault, either locally over stdio or on a VPS via Syncthing and an OpenAI Secure MCP Tunnel, while blocking writes when a file changed since it was last read.

Automatically generates Anki flashcards from Notion pages by extracting questions and answers from toggle blocks. Uses OpenAI to enhance card quality and imports them directly into Anki via AnkiConnect for spaced repetition learning.

Enables reflective thinking and memory storage with support for multiple AI providers (OpenAI, Anthropic, Gemini, Ollama) or local fallback. Stores contextual memories locally and provides tools for reflection, questioning, note-taking, and summarization across different conversation keys.

Enables Claude to keep persistent, emotionally tagged memories across conversations using valence/arousal coordinates stored as Obsidian-compatible Markdown, with natural forgetting, weighted surfacing of unresolved memories, and automatic compression and tagging via an OpenAI-compatible API with local fallback.

Automates research workflows by collecting, summarizing, and categorizing AI technology documents directly into Notion. It uses OpenAI GPT for Vietnamese summarization and automatic tagging of topics like RAG, LangGraph, and MCP.

Gives Claude persistent cross-conversation memory by tagging each entry with Russell's valence/arousal coordinates, storing them as Obsidian-compatible Markdown, and letting emotionally intense or unresolved memories decay slowly and surface automatically at conversation start. Also supports searching, merging, editing, and marking memories resolved through five MCP tools, with optional OpenAI-compatible API tagging that degrades to local keyword analysis.

Enables Claude to keep long-term memory across conversations by storing emotionally tagged notes as Obsidian-compatible Markdown, then surfacing, searching, and letting them decay along a forgetting curve over time. Memory can be auto-tagged and compressed via any OpenAI-compatible LLM, degrading to local keyword analysis when no API is available.

Karpathy-style LLM wiki: sources are compiled once into linked Markdown pages with provenance, and agents search, read, ask cited questions and add sources. Works offline with no API key (uvx gknowledge-mcp --init ).