# GrantAi Memory

> Use this tool when you need to retain and recall large amounts of information with high speed and accuracy, enabling AI agents to learn from infinite context and make informed decisions. GrantAi Memory solves problems of knowledge retention and recall in AI applications, allowing for seamless access to stored data. It accepts input data for storage and outputs recalled information in sub-millisecond timeframes.

Canonical page: https://skillsregistry.net/skills/com-solonai-grantai  
JSON: https://api.skillsregistry.net/v1/skills/com-solonai-grantai

## Description

Persistent memory for AI agents. Infinite context with sub-millisecond recall.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-05-22

## Facts

- **Version:** 1.8.5
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-07-14

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.solonai%2Fgrantai)
- **Repository:** <https://github.com/solonai-com/grantai>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "com-solonai-grantai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-solonai-grantai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-solonai-grantai/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt