by P0lar1zzZ · MCP Server · ★ 91
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Ombre Brain 一个给提供给Claude 用的长期情绪记忆系统。基于 Russell 效价/唤醒度坐标打标,Obsidian 做存储层,MCP 接入,带遗忘曲线。 A long-term emotional memory system for Claude. Tags memories using Russell's valence/arousal coordinates, stores them as Obsidian-compatible Markdown, connects via MCP, and has a forgetting curve. 它是什么 / What is this Claude 没有跨对话记忆。每次对话结束,之前聊过的所有东西都会消失。 Ombre Brain 给了它一套持久记忆——不是那种冷冰冰的键值存储,而是带情感坐标的、会自然衰减的、像人类记忆一样会遗忘和浮现的系统。 Claude has no cross-conversation memory. Everything from a previous chat vanishes once it ends. Ombre Brain gives it persistent memory — not cold key-value storage, but a system with emotional coordinates, natural decay, and forgetting/surfacing mechanics that loosely mimic how human memory works. 核心特点 / Key features: 情感坐标打标 / Emotional tagging: 每条记忆用 Russell 环形情感模型的 valence(效价)和 arousal(唤醒度)两个连续维度标记。不是"开心/难过"这种离散标签。 Each memory is tagged with two continuous dimensions from Russell's circumplex model: valence and arousal. Not discrete labels like "happy/sad". 自然遗忘 / Natural forgetting: 改进版艾宾浩斯遗忘曲线。不活跃的记忆自动衰减归档,高情绪强度的记忆衰减更慢。 Modified Ebbinghaus forgetting curve. Inactive memories naturally decay and archive. High-arousal memories decay slower.
| Stars | 91 |
| Forks | 35 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62.0458432700949/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-06 |
| Created | 2026-04-02 |
| Platforms | claude-code, gemini, mcp, python |
| Est. Tokens | ~10k |
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Ombre-Brain is For Claude.. It is categorized as a MCP Server with 91 GitHub stars.
Ombre-Brain is primarily written in Python. It covers topics such as ai-agent, chatgpt, claude.
You can find installation instructions and usage details in the Ombre-Brain GitHub repository at github.com/P0lar1zzZ/Ombre-Brain. The project has 91 stars and 35 forks, indicating an active community.
Ombre-Brain is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Ombre-Brain on Agent Skills Hub include notion-mcp-server, XActions, c4-genai-suite. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.