# agentmem

> Use this tool when you need to manage and govern memory for coding agents, detecting conflicts and scoring health to ensure trustworthy interactions. It solves problems related to agent reliability, security, and performance by providing a controlled memory environment. Agentmem takes in agent data and outputs health scores and conflict alerts, ideal for use in applications requiring robust agent management and decision-making.

Canonical page: https://skillsregistry.net/skills/io-github-thezenmonster-agentmem  
JSON: https://api.skillsregistry.net/v1/skills/io-github-thezenmonster-agentmem

## Description

Governed memory for coding agents. Trust lifecycle, conflict detection, health scoring.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.2.4
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

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

## 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": "io-github-thezenmonster-agentmem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-thezenmonster-agentmem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-thezenmonster-agentmem/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