# dolores

> Use this tool when you need to provide AI agents with persistent memory, enabling them to retain context and make informed decisions. Dolores solves the problem of limited token usage by retrieving only relevant context, making it ideal for applications requiring efficient and effective memory management. It takes in AI agent inputs and outputs relevant context, utilizing Postgres and pgvector to optimize performance.

Canonical page: https://skillsregistry.net/skills/yeneryigitcelik-debug-dolores  
JSON: https://api.skillsregistry.net/v1/skills/yeneryigitcelik-debug-dolores

## Description

dolores is an MCP server that gives AI agents persistent memory using Postgres and pgvector, retrieving only relevant context to minimize token usage.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xc89f9ka7f)
- **Repository:** <https://github.com/yeneryigitcelik-debug/dolores>

## 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": "yeneryigitcelik-debug-dolores"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yeneryigitcelik-debug-dolores` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yeneryigitcelik-debug-dolores/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