MCP 服务器

GrantAi

Long-term Memory for AI. On Device. Secure. Coding tools, AI Agents. Instant Recall. Precise.

README

<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"]
    }
  }
}