# dreamd

> dreamd — botzrdev-dreamd. Use this tool when you need to enable AI agents to share and persist knowledge across sessions. It solves problems of knowledge loss and duplication by providing a shared, filesystem-backed memory, allowing for seamless search and appending of lessons. Ideal for use cases requiring continuous learning and memory retention, with inputs of AI harnesses and outputs of shared knowledge stored in the .agent folder.

Canonical page: https://skillsregistry.net/skills/botzrdev-dreamd  
JSON: https://api.skillsregistry.net/v1/skills/botzrdev-dreamd

## Description

A local MCP server that gives AI harnesses a shared, filesystem-backed memory using the .agent folder, with tools to search and append lessons across sessions.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w4eulhurbz)
- **Repository:** <https://github.com/botzrDev/dreamd>

## 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": "botzrdev-dreamd"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/botzrdev-dreamd` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/botzrdev-dreamd/pull`

---
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