# Piyapi

> Piyapi — negentro-ai-piyapi. Use this tool when you need to provide persistent memory to AI applications, enabling them to store and retrieve data across sessions. Piyapi solves the problem of ephemeral data storage in AI systems, allowing for seamless continuity and improved performance. It offers a simple API interface for inputting and outputting data, making it ideal for use cases where data persistence is crucial, such as in enterprise-grade AI deployments.

Canonical page: https://skillsregistry.net/skills/negentro-ai-piyapi  
JSON: https://api.skillsregistry.net/v1/skills/negentro-ai-piyapi

## Description

Give any AI application enterprise-grade, persistent memory through a simple API.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/Negentro-ai/Piyapi)

## 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": "negentro-ai-piyapi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/negentro-ai-piyapi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/negentro-ai-piyapi/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