# claude-memory

> claude-memory — allenc84-claude-memory. Use this tool when you need to leverage prior knowledge and decisions to inform predictions and improve accuracy in Claude Code applications. It solves problems of knowledge retention and retrieval, allowing for more informed decision-making and reduced redundancy. The tool takes in prior decisions and data as input, and outputs relevant information and calibrated predictions through a combination of vector search and judgment ledger outputs.

Canonical page: https://skillsregistry.net/skills/allenc84-claude-memory  
JSON: https://api.skillsregistry.net/v1/skills/allenc84-claude-memory

## Description

A persistent semantic memory system for Claude Code, using vector search and a judgment ledger to surface prior decisions and calibrate predictions.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z6vmth677h)
- **Repository:** <https://github.com/allenc84/sapience>

## 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": "allenc84-claude-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/allenc84-claude-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/allenc84-claude-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