Grantai

by solonai-com

163 downloads

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GitHub

About

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.

Details

Author: solonai-com
Downloads: 163
Categories: Database, AI, Knowledge Base, Other

- 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

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Grantai

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "grantai": {
            "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>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "grantai": {
            "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>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "grantai": {
            "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>"
                }
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "grantai": {
            "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>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "grantai": {
            "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>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "grantai": {
            "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>"
                }
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "grantai": {
            "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>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "grantai": {
            "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>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "grantai": {
            "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>"
                }
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "grantai": {
            "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>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "grantai": {
            "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>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "grantai": {
            "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>"
                }
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "grantai": {
            "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>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "grantai": {
            "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>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "grantai": {
            "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>"
                }
            }
        }
    }
}

From the repository

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.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "grantai": {
            "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>"
                }
            }
        }
    }
}

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>"
        }
    }
}

<h1 align="center">GrantAi</h1>

<p align="center">
<strong>Infinite Memory for AI</strong><br>
Local. Private. Secure.
</p>

<p align="center">
<a href="https://solonai.com/grantai">Website</a> •
<a href="https://solonai.com/grantai/download">Download</a> •
<a href="https://solonai.com/pricing">Pricing</a> •
<a href="https://solonai.com/help/grantai">Documentation</a>
</p>

---

What is GrantAi?

GrantAi is the shared memory layer for AI agents.

Coordination frameworks are everywhere — CrewAI, AutoGen, LangGraph. But agents still lose everything when a session ends. Context windows reset. Knowledge evaporates. Each agent starts from zero.

GrantAi solves this:

- Persistent Memory — Knowledge survives sessions, accumulates over time
- Shared Across Agents — Multiple AI tools read and write to the same brain
- 12ms Recall — Sub-second retrieval regardless of memory size
- 100% Local — Your data never leaves your machine
- AES-256 Encrypted — Secure at rest, zero data egress

Quick Start

macOS / Linux (Native)

# 1. Download from https://solonai.com/grantai/download
2. Extract and install
./install.sh YOUR_LICENSE_KEY
3. Restart your AI tool (Claude Code, Cursor, etc.)

Docker (All Platforms)

docker pull ghcr.io/solonai-com/grantai-memory:1.8.5

Add to your Claude Desktop config (~/.config/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "grantai": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "--pull", "always",
               "-v", "grantai-data:/data",
               "-e", "GRANTAI_LICENSE_KEY=YOUR_KEY",
               "ghcr.io/solonai-com/grantai-memory:1.8.5"]
    }
  }
}

Supported Platforms

| Platform | Method | Status |
|----------|--------|--------|
| macOS (Apple Silicon) | Native | ✅ |
| Linux (x64) | Native | ✅ |
| Windows | Docker | ✅ |
| All Platforms | Docker | ✅ |

MCP Tools

GrantAi provides these tools to your AI:

| Tool | Description |
|------|-------------|
| grantai_infer | Query memory for relevant context |
| grantai_teach | Store content for future recall |
| grantai_learn | Import files or directories |
| grantai_health | Check server status |
| grantai_summarize | Store session summaries |
| grantai_project | Track project state |
| grantai_snippet | Store code patterns |
| grantai_git | Import git commit history |
| grantai_capture | Save conversation turns for continuity |

Multi-Agent Memory Sharing

Multiple agents can share knowledge through GrantAi's memory layer.

Basic shared memory (no setup required)

# Any agent stores
grantai_teach(
    content="API rate limit is 100 requests/minute.",
    source="api-notes"
)
Any agent retrieves
grantai_infer(input="API rate limiting")

All agents read from and write to the same memory pool. No configuration needed.

With agent attribution (optional)

Use speaker to track which agent stored what, and from_agents to filter retrieval:

# Store with identity
grantai_teach(
    content="API uses Bearer token auth.",
    source="api-research",
    speaker="researcher"  # optional
)
Retrieve from specific agent
grantai_infer(
    input="API authentication",
    from_agents=["researcher"]  # optional filter
)

When to use `speaker`

| Scenario | Use speaker? | Why |
|----------|--------------|-----|
| Shared knowledge base | No | All contributions equal, no filtering needed |
| Session continuity | No | Same context, just persist and retrieve |
| Research → Code handoff | Yes | Coder filters for researcher's findings only |
| Role-based trust | Yes | Security agent's input treated differently |

Framework integration

GrantAi works with any MCP-compatible client. Point your agents at the same GrantAi instance:

{
  "mcpServers": {
    "grantai": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "--pull", "always",
               "-v", "grantai-data:/data",
               "-e", "GRANTAI_LICENSE_KEY=YOUR_KEY",
               "ghcr.io/solonai-com/grantai-memory:1.8.5"]
    }
  }
}

All agents using this config share the same memory volume (grantai-data).

Pricing

- Free Trial — 30 days, no credit card required
- Personal — $29/month or $299/year
- Team — $25/seat/month

View full pricing →

Documentation

- Installation Guide
- FAQ
- Troubleshooting

Support

- Issues — Open an issue
- Email — support@solonai.com

License

GrantAi is proprietary software. See Terms of Service.

---

<p align="center">
<a href="https://solonai.com/grantai">Get Started →</a>
</p>

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About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

What is GrantAi?

Quick Start

macOS / Linux (Native)

2. Extract and install

3. Restart your AI tool (Claude Code, Cursor, etc.)

Docker (All Platforms)

Supported Platforms

MCP Tools

Multi-Agent Memory Sharing

Basic shared memory (no setup required)

Any agent retrieves

With agent attribution (optional)

Retrieve from specific agent

When to use speaker

Framework integration

Pricing

Documentation

Support

License

Install

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