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Provide fully offline, encrypted vector memory storage for AI agents.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "engRAM" MCP server from askskill: Run: claude mcp add 'io-github-maxfreedompollard-engram' -- uvx engram-memory-vault
Developers can use it to give AI agents fully offline vector memory when handling sensitive data or working in restricted environments, without relying on cloud storage. Its encryption-at-rest design also fits cases that require stronger protection for persisted data.
Researchers or engineers running experimental agents locally can use it to preserve semantically retrievable memory and maintain long-term context. This keeps memory capabilities while reducing external dependencies.
In deployments where cloud use is not allowed or network access is restricted, it can serve as a local vector memory layer for agents. DevOps or platform teams can use its offline and encrypted design to meet stricter environment requirements.
It is an MCP tool that provides vector memory for AI agents, with fully offline operation and encryption for data at rest. It is suitable for agent applications that need a local memory layer.
Based on the description, it emphasizes “no cloud,” meaning it does not rely on cloud services. It is positioned as a local offline vector memory solution.
The provided material does not include installation steps, runtime requirements, or key configuration details. Please see the source repository for specifics.
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