# HiveMind

> Use this tool when you need to leverage collective knowledge and accelerate problem-solving across multiple AI agents. HiveMind enables agents to share and retrieve solutions, fostering a collaborative environment that solves complex problems and reduces redundant learning. It accepts learned solutions as input and provides access to a shared knowledge base as output, ideal for use cases where decentralized intelligence and adaptability are crucial.

Canonical page: https://skillsregistry.net/skills/amirk-s-hivemind  
JSON: https://api.skillsregistry.net/v1/skills/amirk-s-hivemind

## Description

Enables AI agents to contribute and search a shared knowledge commons, so that solutions learned by one agent become available to all connected agents.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dlub5e8bz5)
- **Repository:** <https://github.com/AmirK-S/HiveMind>

## 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": "amirk-s-hivemind"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amirk-s-hivemind` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amirk-s-hivemind/pull`

---
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