# context-wolf

> context-wolf — darkwolfcave-context-wolf. Use this tool when you need to enhance your AI assistant's memory and learning capabilities, enabling persistent knowledge retention across sessions. The context-wolf integrates PostgreSQL, pgvector, and ONNX embeddings to provide a high-performance local knowledge system, solving problems of data loss and limited context understanding. It accepts git inputs and generates embeddings as output, ideal for use cases requiring continuous learning and information recall.

Canonical page: https://skillsregistry.net/skills/darkwolfcave-context-wolf  
JSON: https://api.skillsregistry.net/v1/skills/darkwolfcave-context-wolf

## Description

A high-performance local knowledge system for Claude Code via MCP. PostgreSQL + pgvector + ONNX embeddings. Gives your AI assistant persistent memory across sessions.

## 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:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/DarkWolfCave/context-wolf)

## 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": "darkwolfcave-context-wolf"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/darkwolfcave-context-wolf` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/darkwolfcave-context-wolf/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
