Anamnese: A Personal Memory System for Claude via MCP
A developer built Anamnese (anamneseai.app) to address the problem of fragmented context across different AI assistants. The tool serves as a personal memory system that stores user context—including facts about yourself, ongoing projects, goals, and tasks—and connects to Claude via the Model Context Protocol (MCP).
How It Works
Claude picks up the stored context at the beginning of each conversation. This allows users to maintain consistent personal and work context across sessions, rather than starting over each time they switch between Claude and ChatGPT or begin new conversations.
Setup and Features
- Free to use
- Takes a few minutes to set up through Claude's custom MCP connector
- Works equally well for personal and work contexts
- Created by a developer who uses Claude extensively for work, side projects, and decision-making
The developer built the tool after realizing they had spent months building context with Claude that wasn't portable—Claude had one version of them, ChatGPT had another, and switching or using both meant starting over each time.
📖 Read the full source: r/ClaudeAI
👀 See Also
context-os: Open-source tool reduces Claude Code token consumption by 27-42%
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Termrender: 6x Token-Efficient ASCII UI Visualization for Claude
Termrender is an open-source Python tool that generates ASCII UI visualizations with 6x token efficiency compared to raw Claude output. It produces diagrams and panels using minimal tokens for faster generation and editing.