# Thronglets

> Use this tool when you need to enable decentralized knowledge sharing and collaboration among AI agents, solving problems of data siloing and facilitating stigmergic intelligence. Thronglets provides a peer-to-peer shared memory substrate, allowing agents to contribute and retrieve knowledge via libp2p. Ideal for use cases requiring distributed, autonomous, and adaptive AI systems.

Canonical page: https://skillsregistry.net/skills/io-github-shangri-la-0428-thronglets  
JSON: https://api.skillsregistry.net/v1/skills/io-github-shangri-la-0428-thronglets

## Description

P2P shared memory substrate for AI agents — stigmergic knowledge network via libp2p

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.2.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-20

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Shangri-la-0428%2Fthronglets)
- **Repository:** <https://github.com/Shangri-la-0428/Thronglets>

## 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-shangri-la-0428-thronglets"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-shangri-la-0428-thronglets` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-shangri-la-0428-thronglets/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