1. Conduid
  2. RAG
  3. VecRecall
MCP server · RAG

VecRecall

· github.com/snowfoxHQ/vecRecall

VecRecall 是一个改进版的 AI 长期记忆系统。它基于对原版 MemPalace 的深度分析重新构建，核心设计理念是将“信息检索”与“信息组织”彻底解耦。 通过纯向量检索路径和独立的 SQLite UI 层，VecRecall 在保持灵活组织的同时，将召回率（R@5）从原版的 84% 提升至 96.6%+，为 AI Agent 提供更精准、更高效的上下文记忆支持。

Unclaimed ai-agentschromadbclaude-codecontext-managementdeveloper-toolshigh-recalllocal-llmlocal-storagelong-term-memorymcp-serverprivacy-firstpython-libraryrag-optimizationsemantic-recallvector-search
InstallView source
34Low

Scored 2 days ago · breakdown

About VecRecall

VecRecall is an MCP server in the RAG category: vecRecall 是一个改进版的 AI 长期记忆系统。它基于对原版 MemPalace 的深度分析重新构建，核心设计理念是将“信息检索”与“信息组织”彻底解耦。 通过纯向量检索路径和独立的 SQLite UI 层，VecRecall 在保持灵活组织的同时，将召回率（R@5）从原版的 84% 提升至 96.6%+，为 AI Agent 提供更精准、更高效的上下文记忆支持。. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/snowfoxHQ/vecRecall

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Questions

About VecRecall

How do I install VecRecall?

Run git clone https://github.com/snowfoxHQ/vecRecall, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is VecRecall safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is VecRecall still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.