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2 days ago
glama

AI-MemoryHub MCP Server

Provides a hybrid memory architecture with a thin SQLite index and Markdown cold storage, enabling AI agents to write, query, link, and rebuild long-term memories via MCP tools, model-agnostic and zero third-party dependencies.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 2 credentials: OPENAI_API_KEY, ANTHROPIC_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configHMA_LLM命名约定:本文档中「AI记忆中枢(AI-MemoryHub)」为本项目正式名称;「HMA」专指其底层架构 Hybrid Memory Architecture(混合记忆架构)。代码中的 hma 包名、MCP server 名、 环境变量等标识符保持不变。
🔐 secretOPENAI_API_KEYnote 模式 + llm_adapter(付费/本地) 真实 LLM API 配了 +HMA_LLM 后
configOPENAI_BASE_URLexport =https://api.openai.com/v1 # 兼容端点可改
configOPENAI_MODELexport =gpt-4o-mini
🔐 secretANTHROPIC_API_KEYexport =...
configANTHROPIC_MODELexport =claude-sonnet-4-20250514
configHMA_ROOT
configPYTHONPATH
configHMA_NO_GUI
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 1 concrete improvement we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/traceless-zero-ai-memoryhub-2ujlk5)](https://m8ven.ai/mcp/traceless-zero-ai-memoryhub-2ujlk5)
commit: 70d4523e6938087ba41015959b7a7598f82dc4ad
code hash: 71d282b01e6570097fcd4b04d4f45a8171b4b4a30f7b1f47740865376703fc6e
verified: 7/29/2026, 9:34:57 AM
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