# zetta

> zetta — manoj-engineer-zetta. Use this tool when you need to enhance AI agents with persistent memory, solving problems of knowledge retention and retrieval. Zetta provides hybrid BM25+semantic search capabilities, accepting text-based inputs and returning relevant information, with a zero-config interface and Rust core for efficiency. Ideal for use cases involving LangChain, CrewAI, OpenAI Agents, or MCP, where agents require access to stored knowledge via git integration.

Canonical page: https://skillsregistry.net/skills/manoj-engineer-zetta  
JSON: https://api.skillsregistry.net/v1/skills/manoj-engineer-zetta

## Description

Persistent memory for AI agents — LangChain, CrewAI, OpenAI Agents, MCP. Hybrid BM25+semantic search, Rust core, zero config.

## Trust

- **Trust score (0–1):** 0.63
- **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/Manoj-engineer/zetta)

## 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": "manoj-engineer-zetta"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/manoj-engineer-zetta` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/manoj-engineer-zetta/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