# ai-longterm-wiki-memory-ClaudeCode

> ai-longterm-wiki-memory-ClaudeCode — giovannifrontera-ai-longterm-wiki-memory-claudecode. Use this tool when you need to retain and manage complex knowledge bases with persistent semantic memory, solving problems of data loss and inconsistency in Claude Code projects. It provides a three-layer wiki interface with vector-based search and native MCP integration, accepting code repositories as input and outputting a self-healing knowledge graph. Ideal for large-scale code projects requiring robust and integrated knowledge management.

Canonical page: https://skillsregistry.net/skills/giovannifrontera-ai-longterm-wiki-memory-claudecode  
JSON: https://api.skillsregistry.net/v1/skills/giovannifrontera-ai-longterm-wiki-memory-claudecode

## Description

Persistent semantic memory for Claude Code. Three-layer wiki + LanceDB vectors, hooks, self-healing lint, knowledge graph. Native MCP integration.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/giovannifrontera/ai-longterm-wiki-memory-ClaudeCode)

## 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": "giovannifrontera-ai-longterm-wiki-memory-claudecode"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/giovannifrontera-ai-longterm-wiki-memory-claudecode` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/giovannifrontera-ai-longterm-wiki-memory-claudecode/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
