GrantAi
Infinite Memory for AI
Local. Private. Secure.
Website • Download • Pricing • Documentation
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
Documentation
Support
- Issues — Open an issue
- Email — support@solonai.com
License
GrantAi is proprietary software. See Terms of Service.