# Vault-Agent-Memory

> Vault-Agent-Memory — zycaskevin-vault-agent-memory. Use this tool when you need to manage and govern AI agent memory locally, enabling shared, reviewable, and auditable memory storage via SQLite and MCP. It solves problems of data consistency, transparency, and version control, allowing for seamless collaboration and auditing. Ideal for use cases requiring secure and traceable memory management, with inputs including agent data and outputs including governed memory states, all integrated with git for versioning.

Canonical page: https://skillsregistry.net/skills/zycaskevin-vault-agent-memory  
JSON: https://api.skillsregistry.net/v1/skills/zycaskevin-vault-agent-memory

## Description

Local-first memory governance for AI agents: shared, reviewable, auditable memory via SQLite and MCP.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/zycaskevin/Vault-Agent-Memory)

## 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": "zycaskevin-vault-agent-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zycaskevin-vault-agent-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zycaskevin-vault-agent-memory/pull`

---
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