# agent-memory

> agent-memory — dklymentiev-agent-memory. Use this tool when you need to store and retrieve information efficiently for AI coding agents, solving problems of data persistence and searchability. It provides a single binary interface for instant full-text search, workspaces, and MCP server integration, accepting code repositories as input and outputting searchable knowledge bases. Ideal for use cases involving large codebases and collaborative development, such as git version control.

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

## Description

Persistent memory for AI coding agents. Single binary, instant full-text search, workspaces, MCP server.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/dklymentiev/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": "dklymentiev-agent-memory"
    }
  }
}
```

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