# SCM_OpenSource

> SCM_OpenSource — clyrai-scm-opensource. Use this tool when you need to manage embedded lifecycle memory for AI agents, handling consolidation, contradictions, and forgetting. It solves problems related to memory management, information retention, and summary generation, providing inputs such as memory data and outputs like consolidated summaries. Ideal for use in AI development contexts where efficient memory handling is crucial.

Canonical page: https://skillsregistry.net/skills/clyrai-scm-opensource  
JSON: https://api.skillsregistry.net/v1/skills/clyrai-scm-opensource

## Description

SCM Memory: embedded lifecycle memory for AI agents, with consolidation, contradiction handling, forgetting, and wake summaries.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/clyrai/SCM_OpenSource)

## 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": "clyrai-scm-opensource"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/clyrai-scm-opensource` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/clyrai-scm-opensource/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