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Yourmemory MCP Server

@sachitrafa

基本情報

カテゴリ

その他

ライセンス

NOASSERTION

トランスポート

stdio

作者

sachitrafa

投稿者

sachit mishra

Yourmemory MCP Server について

Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.

Yourmemory MCP Server の設定

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このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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Yourmemory MCP Server のツール

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ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Yourmemory?

Yourmemory provides persistent, self-improving memory for AI agents, built on the science of how humans remember. It integrates with any MCP client (Claude, Cursor, Cline, Windsurf) and runs entirely on your machine with no API key required.

How to use Yourmemory?

Install with pip install yourmemory, then run yourmemory-register <your-token> and yourmemory-setup. Optionally download a standalone binary from the latest release. Start the server with no arguments. Works out of the box with DuckDB (default) or Postgres with pgvector for teams.

Key features of Yourmemory

  • Consolidation: compresses related facts into clean summaries.
  • Biological decay: memories fade on the Ebbinghaus forgetting curve.
  • Entity graph: memories link by shared people, places, and concepts.
  • Survives context resets: hands back working context after compaction.
  • Tamper-evident audit trail: hash-chained ledger logs every operation.
  • Team memory pools: role-based shared and private memory.
  • Data rights: export and right‑to‑forget with one command.
  • MCP‑native and local‑first: no external API or cloud dependency.

Use cases of Yourmemory

  • AI agents remembering user preferences and context across sessions.
  • Teams sharing institutional knowledge with role‑based access.
  • Long‑running tasks that need to survive context window resets.
  • Compliance‑heavy environments requiring an auditable memory trail.
  • Research and experimentation with memory consolidation and decay.

よくある質問

1

What makes Yourmemory different from other memory tools?

It uses consolidation, biological decay, an entity graph, and hybrid retrieval — not just a vector database. Memory gets sharper over time and recalls what you forgot to ask for.

2

What are the runtime requirements?

Python 3.11–3.14. No Docker or database setup is needed. All memory is stored locally in `~/.yourmemory/` by default (DuckDB). Optionally install Ollama for better local fact extraction.

3

Where does my data live?

All data is stored locally on your machine. DuckDB is the default backend; you can switch to Postgres with the pgvector extension for shared or production use.

4

How does memory decay work?

Each memory ages on an Ebbinghaus forgetting curve. Stale, unused facts fade, while frequently recalled ones persist. Different categories (strategy, fact, assumption, failure) have different half‑lives.

5

Is there an audit trail?

Yes. Every read, write, update, delete, and consolidation is appended to a hash‑chained, tamper‑evident audit log. Altering one record breaks the chain.

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