# CogniVault

> CogniVault — gitstq-cognivault. Use this tool when you need to efficiently manage and retrieve semantic memory for AI agents, solving problems of knowledge graph management and information retrieval. CogniVault provides a lightweight solution with a hybrid search engine and memory lifecycle management, accepting knowledge graph inputs and outputting relevant information. It is ideal for use cases requiring zero-dependency, high-performance semantic memory management in AI systems.

Canonical page: https://skillsregistry.net/skills/gitstq-cognivault  
JSON: https://api.skillsregistry.net/v1/skills/gitstq-cognivault

## Description

🧠 CogniVault - Lightweight AI Agent Semantic Memory Engine | 轻量级AI Agent语义记忆引擎 - Zero Dependencies, TF-IDF+BM25 Hybrid Search, Memory Lifecycle, Knowledge Graph, MCP Server

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/gitstq/CogniVault)

## 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": "gitstq-cognivault"
    }
  }
}
```

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