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Grantai MCP Server

@solonai-com

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

solonai-com

提交者

Lawrence Grant

关于 Grantai MCP Server

Fast, sub millisecond, local on device long term memory for LLMs, Coding Tools and AI Agents. Recall exact details from yesterday of five years ago. Install in 5 minutes.

#long-term-memory-continued-context-agentic-collaboration-secure-local-memory

Grantai MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "grantai": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "GRANTAI_LICENSE_KEY",
        "ghcr.io/solonai-com/grantai-memory:1.8.7"
      ],
      "env": {
        "GRANTAI_LICENSE_KEY": "<YOUR_LICENSE_KEY>"
      }
    }
  }
}

Grantai MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is GrantAi?

GrantAi is a shared memory layer for AI agents that provides persistent, local, and encrypted memory. It solves the problem of agents losing context when sessions end by allowing knowledge to survive across sessions and be shared among multiple AI tools. It is designed for developers using coordination frameworks like CrewAI, AutoGen, or LangGraph.

How to use GrantAi?

Install GrantAi via native macOS/Linux (run ./install.sh YOUR_LICENSE_KEY) or Docker for all platforms. Add it as an MCP server to your Claude Desktop config or any MCP-compatible client. GrantAi exposes tools such as grantai_teach, grantai_infer, grantai_learn, and others for storing and querying memory.

Key features of GrantAi

  • Persistent memory that survives sessions and accumulates over time
  • Shared across multiple AI agents with no configuration needed
  • Sub-12ms recall regardless of memory size
  • 100% local — data never leaves your machine
  • AES-256 encrypted at rest with zero data egress
  • MCP tools for storing, querying, and importing memory

Use cases of GrantAi

  • Maintain continuous context for a single AI agent across multiple sessions
  • Enable multiple agents (e.g., researcher and coder) to share a common knowledge base
  • Hand off information between agents with optional speaker attribution for role‑based retrieval
  • Import large codebases or git history for agent‑assisted development

常见问题

1

What makes GrantAi different from other memory solutions?

GrantAi offers persistent memory shared across agents, sub‑second recall, 100% local storage, and AES‑256 encryption. It works with any MCP‑compatible client and requires no external services.

2

How do multiple agents share memory with GrantAi?

All agents that point to the same GrantAi instance automatically read from and write to the same memory pool. Optionally, use the `speaker` parameter to attribute stored content and `from_agents` to filter retrieval.

3

Is my data secure with GrantAi?

Yes. GrantAi runs 100% locally, encrypts all data at rest with AES‑256, and guarantees zero data egress from your machine.

4

What are the system requirements for GrantAi?

Native support for macOS (Apple Silicon) and Linux (x64). All platforms are supported via Docker.

5

How much does GrantAi cost?

GrantAi offers a 30‑day free trial with no credit card required. Paid plans start at $29/month or $299/year for Personal, and $25/seat/month for Team.

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