# ledgermind

> Use this tool when you need to create a self-sustaining memory for AI agents that can heal, learn, and evolve autonomously. LedgerMind solves problems of data inconsistency and agent coordination in multi-agent systems, and provides a unified interface for knowledge management through SQLite, Git, and a reasoning layer. It is ideal for on-device deployment and edge AI applications where human intervention is limited.

Canonical page: https://skillsregistry.net/skills/sl4m3-ledgermind  
JSON: https://api.skillsregistry.net/v1/skills/sl4m3-ledgermind

## Description

​LedgerMind — an autonomous living memory for AI agents. It self-heals, resolves conflicts, distills experience into rules, and evolves without human intervention. SQLite + Git + reasoning layer. Perfect for multi-agent systems and on-device deployment.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-05-11

## Source

- **Source listing:** [GitHub](https://github.com/sl4m3/ledgermind)

## 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": "sl4m3-ledgermind"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sl4m3-ledgermind` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sl4m3-ledgermind/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