# atlas

> atlas — richschefren-atlas. Use this tool when you need to manage and revise complex knowledge bases with automatic belief re-evaluation, solving issues with data inconsistency and outdated information. Atlas provides a local-first cognitive memory with AGM-compliant belief revision, taking input from various sources and outputting updated beliefs and facts. It is particularly useful in contexts where data accuracy and consistency are crucial, such as knowledge graph management and decision support systems.

Canonical page: https://skillsregistry.net/skills/richschefren-atlas  
JSON: https://api.skillsregistry.net/v1/skills/richschefren-atlas

## Description

Open-source local-first cognitive memory. AGM-compliant belief revision (49/49 postulates). When a fact changes, downstream beliefs are automatically re-evaluated, not just flagged.

## Trust

- **Trust score (0–1):** 0.40
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/RichSchefren/atlas)

## 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": "richschefren-atlas"
    }
  }
}
```

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