"Prop Amp (Proportional Amplifier) Information" matching MCP servers:

An MCP server that gives Claude persistent, locally-stored memory with verification-gated lessons and a Pattern Oracle to prevent unverified guesses from becoming ingrained facts.

Enables MCP-compatible coding harnesses to read Amp threads as Markdown, with pagination and filtering options, through a read-only interface.

AutoMem MCP provides persistent memory for AI assistants, enabling them to recall information across conversations and platforms with graph-vector retrieval.

Local MCP runtime that gives persistent cross-session memory to 12 AI coding agents (Claude Code, Cursor, Codex, Gemini CLI, Windsurf, Amp, and more). SQLite-backed state survives context resets. Install: npm install -g @egchq/egc

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.

Enables seamless integration between Claude and Dry smartspaces, turning conversations into persistent, structured data by creating memories and querying information.

MCP server for querying the DodaOne governance framework, enabling users to retrieve governance information and evaluate proposed actions.

A persistent memory layer for AI tools that decouples personal data from AI's unstable memory, enabling you to mention information once and have it remembered forever across all conversations.

Provides a shared project knowledge and handoff layer for coding agents, offering tools to list, search, retrieve, and update stages of project information to maintain continuity across long-running projects

An MCP server that gives AI assistants the ability to remember user information (preferences, behaviors) across conversations using vector search technology.

Provides access to personal/team knowledge repositories with tools to search, retrieve, and save information from various sources including Slack, Gmail, and document storage platforms.

Provides a single-user, append-only, queryable memory store for dated facts with provenance, enabling Claude to persist and correct personal information across conversations via an MCP interface.

Enables storing and retrieving information using semantic search with Qdrant vector database. Acts as a memory layer for LLMs to persistently store and semantically search through information and metadata.

An MCP server that enforces context validity declarations, ensuring agents refuse stale context with a disclosure naming the accountable steward instead of answering confidently with outdated information.

A local memory server for AI agents that stores and retrieves information via MCP, keeping all data in SQLite on your machine.

Enables MCP clients like Cursor and Claude to remember user preferences and information across conversations using vector search.

Enables MCP clients to store and retrieve user preferences, behaviors, and other text-based information across conversations using semantic vector search.

Enables large language models to directly access and search content in ZIM files, allowing offline question answering and information retrieval from resources like Wikipedia.

Intelligent context-aware memory system for AI assistants that enables persistent memory, automatic development activity tracking, and intelligent information retrieval across conversations.

Implements long-term memory capabilities for AI assistants using PostgreSQL with pgvector for efficient vector similarity search, enabling semantic retrieval of stored information.