Retrieve comprehensive context from all memory systems using semantic search to enhance AI assistant capabilities in retaining short-term, long-term, and episodic memory.
Initiate a chat session with a Typebot using a specific botId, optionally include chat context for personalized interactions via the MCP-Typebot server.
Retrieve the last 20 chat messages from Twitch for moderation context, aiding in stream management and engagement via the Model Context Protocol (MCP).
Create a new conversation session with Gemini AI to maintain context across multiple chat interactions. Generates unique conversation ID for tracking message history and enabling continuous dialogue.
Enables AI to automatically search, retrieve, and organize your Cursor chat history across sessions. Supports tagging, nicknames, project-scoped search, and full-text search to maintain context between conversations.
An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.