# agent-memory

> agent-memory — jcyamacho-agent-memory. Use this tool when you need to retain context and preferences across coding sessions, enabling MCP-powered agents to recall project-specific information and decisions. It solves problems of lost context and repeated user input by storing data in Markdown files. Ideal for use cases requiring persistent memory, such as ongoing coding projects or iterative development tasks.

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

## Description

Persistent memory for MCP-powered coding agents, allowing LLMs to remember preferences, project context, and decisions across sessions via Markdown files.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vv362akeqg)
- **Repository:** <https://github.com/jcyamacho/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": "jcyamacho-agent-memory"
    }
  }
}
```

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