# Omem

> Omem — troybrandonc-bit-omem. Use this tool when you need to maintain a transparent and auditable record of an AI agent's beliefs and actions. Omem solves problems related to accountability and explainability by storing append-only beliefs with evidence and tracking contradictions. It provides a git-based interface for inputs and outputs, and is ideal for use cases where human oversight is required for risky actions, such as in high-stakes decision-making environments.

Canonical page: https://skillsregistry.net/skills/troybrandonc-bit-omem  
JSON: https://api.skillsregistry.net/v1/skills/troybrandonc-bit-omem

## Description

The system of record for what an AI agent believed and did. Append-only beliefs with evidence, contradictions kept, risky actions gated behind a named human. MIT, self-hosted.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **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/troybrandonc-bit/Omem)

## 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": "troybrandonc-bit-omem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/troybrandonc-bit-omem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/troybrandonc-bit-omem/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