MCP Server for AI Agent Memory - persistent, semantically-searchable memory for AI agents
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# Forgetful    [](https://github.com/jlowin/fastmcp) [](https://github.com/qdrant/fastembed) [](https://discord.gg/ngaUjKWkFJ) **Forgetful** is a storage and retrieval tool for AI Agents. Designed as a Model Context Protocol (MCP) server built using the FastMCP framework. Once connected to this service, MCP clients such as Coding Agents, Chat Bots or your own custom built Agents can store and retrieve information from the same knowledge base.  --- ## Table of Contents - [Overview](#overview) - [Features](#features) - [Quick Start](#quick-start) - [Some Examples](#usage-example) - [How It Works](#how-it-works) - [Configuration](#configuration) - [Documentation](#documentation) - [Contributing](#contributing) - [License](#license) --- ## Overview A lot of us are using AI Agents now, especially in the realm of software development. The pace at which work and decisions are made can make it difficult for you to keep up from a notes and context persistence perspective. So if you are following something like the [BMAD Method](https://github.com/bmad-code-org/BMAD-METHOD) for example and you want to take your brain storming session you've just had with Claude on your desktop/mobile and use it for the basis of your next Claude Code session, then having a shared knowledge base across the two agents can help with this. This is just one example use case to illustrate the point, more and more agentic applications are going to surface and the use cases for sharing data across them is going to increase. Knowledge bases are going to become a key…
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