# agentMemory

> agentMemory — webzler-agentmemory. Use this tool when you need to eliminate AI hallucinations and ensure accurate responses from your AI models. The agentMemory tool works instantly with popular platforms like Cline, RooCode, and KiloCode, requiring zero configuration and providing a seamless interface to mitigate hallucinations. It integrates with git, allowing for easy version control and management of AI model outputs.

Canonical page: https://skillsregistry.net/skills/webzler-agentmemory  
JSON: https://api.skillsregistry.net/v1/skills/webzler-agentmemory

## Description

Eliminate AI hallucinations. Zero config. Works instantly with Cline, RooCode, KiloCode, and more.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/webzler/agentMemory)

## 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": "webzler-agentmemory"
    }
  }
}
```

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