Grantai
@solonai-com
Grantai について
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.
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"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>"
}
}
}
}ツール
ツールは検出されませんでした
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 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
FAQ from GrantAi
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.
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.
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.
What are the system requirements for GrantAi?
Native support for macOS (Apple Silicon) and Linux (x64). All platforms are supported via Docker.
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.
「その他」の他のコンテンツ
ACI: Open-Source Infra to Power Unified MCP Servers
aipotheosis-labsACI.dev is the open source tool-calling platform that hooks up 600+ tools into any agentic IDE or custom AI agent through direct function calling or a unified MCP server. The birthplace of VibeOps.

EverArt
modelcontextprotocolModel Context Protocol Servers
Mobile Mcp
mobile-nextModel Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)
Inbox Zero AI
elie222The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.
Reactive Resume
amruthpillaiA one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
コメント