# AgentMem

> Use this tool when you need to manage memory for long-running AI coding agents, tracking memory lifecycle and detecting conflicts to ensure optimal performance. AgentMem solves problems related to memory staleness and health, providing a reliable interface through the quilmem Python package and MCP server interface. It is ideal for use cases requiring local, cloud-independent memory management with provenance tracking across sessions.

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

## Description

AgentMem provides structured memory management for long-running AI coding agents. It tracks memory lifecycle, detects conflicts and staleness, scores memory health, and maintains provenance tracking across sessions. Storage uses local SQLite with no cloud dependencies or API keys required. Available as the quilmem Python package with an MCP server interface.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-thezenmonster-agentmem)
- **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": "gh-thezenmonster-agentmem"
    }
  }
}
```

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