# collective-memory

> collective-memory — hustada-collective-memory. Use this tool when you need to retain and recall knowledge across AI sessions, enabling persistent memory and informed decision-making. It solves problems of knowledge loss and context switching by storing and retrieving context, decisions, and learnings through natural language search. This tool is ideal for applications requiring continuous learning, adaptive dialogue, and semantic memory, accepting text-based inputs and returning relevant information and insights.

Canonical page: https://skillsregistry.net/skills/hustada-collective-memory  
JSON: https://api.skillsregistry.net/v1/skills/hustada-collective-memory

## Description

MCP server for persistent, semantic memory across AI sessions; store context, decisions, and learnings and recall them with natural language search.

## Trust

- **Trust score (0–1):** 0.69
- **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/bc0s6pgu6h)
- **Repository:** <https://github.com/Hustada/collective-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": "hustada-collective-memory"
    }
  }
}
```

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