"Kasa Smart" matching MCP servers:

Provides semantic search and knowledge graph capabilities for Obsidian vaults using Smart Connections embeddings.

Enables AI agents to find semantic connections and perform text searches in Obsidian vaults using the Smart Connections plugin data.

Smart memory for AI agents. Solves the Karpathy problem: memories decay, topics are frequency-weighted, one-time questions don't become obsessions. 7 tools. Zero deps.

Enables AI assistants to interact with LightRAG knowledge graphs, supporting smart upsert for Obsidian vaults, semantic queries, and document/graph management.

An MCP server for Claude Code that enables semantic search of past session transcripts and intelligent session forking, allowing users to find and resume from relevant previous conversations with full context.

A stateful MCP server that provides persistent memory, deterministic static analysis, and evolving conventions for AI coding assistants.

High-level Zotero MCP integration with smart research workflows, enabling tasks like building reading lists, adding papers with duplicate check, and exporting bibliographies.

A sophisticated MCP server that provides a multi-dimensional, adaptive reasoning framework for AI assistants, replacing linear reasoning with a graph-based architecture for more nuanced cognitive processes.

MCP server that wraps the nexus CLI, giving AI agents cross-session memory, semantic search, preference learning, and smart context injection.

A lightweight, read-only MCP server for Notion that enables searching, reading pages, and querying databases with token-efficient output and smart caching.

Enables AI-powered multi-provider routing and chat through an MCP interface, with smart fallback, persistent sessions, and learning from historical performance.

A local-first memory vault MCP server for Windows that exposes an encrypted user memory store to agents via a permission-brokered protocol, ensuring user ownership and control over browsing data.

Enables voice captures from a smart ring to search and append notes in a local Obsidian vault and query an OpenAI-compatible AI agent, returning answers as phone notifications.

A lightweight MCP server that provides long-term memory for LLMs by storing and retrieving important facts, decisions, and preferences through smart semantic search and automatic organization.

A smart, self-maintaining memory system for Claude Code that persists across machines using Postgres, with semantic recall, confidence-based self-healing, and background maintenance via dreaming.

A persistent memory and context management system for AI CLI tools that utilizes a three-layer architecture and semantic search to prevent context loss between sessions. It provides time-aware orientation and smart memory routing to help AI agents maintain project knowledge and architectural decisions.

A vendor-neutral, user-sovereign memory layer for AI agents and tools, providing persistent, cross-tool memory that users fully own and control.

Enables semantic search and knowledge graph exploration of Obsidian vaults using Smart Connections embeddings. Provides intelligent note discovery, similarity search, and connection mapping through natural language queries.

MCP server that minimizes LLM token usage by compressing, summarizing, filtering, chunk-referencing, and pruning large context before it reaches the model, with heuristic or local-SLM smart actions, caching, and token counting.

Enables accessing and managing personal/team internal knowledge repository with tools for semantic search, smart search, document listing, and saving information for future recall.