# io.github.nfemmanuel/iranti

> Use this tool when you need to provide AI agents with persistent and shared memory capabilities, enabling them to store and retrieve facts, checkpoints, and perform semantic searches. It solves problems related to knowledge retention, data sharing, and efficient information retrieval in AI systems. Ideal for use cases where AI agents require access to a unified, searchable knowledge base, this tool accepts input data and returns relevant search results and stored information.

Canonical page: https://skillsregistry.net/skills/io-github-nfemmanuel-iranti  
JSON: https://api.skillsregistry.net/v1/skills/io-github-nfemmanuel-iranti

## Description

Persistent, shared memory for AI agents — facts, checkpoints, semantic search.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.3.35
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.nfemmanuel%2Firanti)
- **Repository:** <https://github.com/nfemmanuel/iranti>

## 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": "io-github-nfemmanuel-iranti"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-nfemmanuel-iranti` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-nfemmanuel-iranti/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