# AgentStore

> AgentStore — confidantduk-agentstore. Use this tool when you need to manage persistent data for AI agents with isolation and retention control. AgentStore solves data management problems by providing namespace isolation, TTL-based retention, and a full audit trail, ensuring secure and efficient data storage. It takes in agent-specific data as input and outputs a persisted record, making it ideal for use cases requiring agent-scoped storage with data retention and auditing capabilities.

Canonical page: https://skillsregistry.net/skills/confidantduk-agentstore  
JSON: https://api.skillsregistry.net/v1/skills/confidantduk-agentstore

## Description

Provides agent-scoped persistent storage with namespace isolation and TTL-based retention tiers. Includes a full audit trail and is backed by a single SQLite file.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fxdynfi6nv)
- **Repository:** <https://github.com/confidantduk/agentstore>

## 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": "confidantduk-agentstore"
    }
  }
}
```

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