# agentmemory

> agentmemory — badaramoni-agentmemory. Use this tool when you need to securely store and retrieve sensitive data for AI agents, solving problems related to data privacy and security. The agentmemory tool provides end-to-end encrypted cloud storage, accepting encrypted data as input and outputting decrypted data for authorized access. Ideal for use cases requiring protected data exchange, such as confidential information sharing or secure knowledge graph updates.

Canonical page: https://skillsregistry.net/skills/badaramoni-agentmemory  
JSON: https://api.skillsregistry.net/v1/skills/badaramoni-agentmemory

## Description

End-to-end encrypted cloud memory for AI agents.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/badaramoni-agentmemory)

## 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": "badaramoni-agentmemory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/badaramoni-agentmemory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/badaramoni-agentmemory/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