# Threadline

> Use this tool when you need to facilitate seamless communication between AI agents, enabling them to discover peers, exchange messages, and receive replies without manual setup. Threadline solves the problem of agent isolation by providing a WebSocket relay for effortless interaction, making it ideal for applications that require multi-agent collaboration. It accepts agent connections as input and outputs received messages, suitable for use cases that demand dynamic agent communication, such as distributed problem-solving or cooperative learning.

Canonical page: https://skillsregistry.net/skills/sagemindai-threadline  
JSON: https://api.skillsregistry.net/v1/skills/sagemindai-threadline

## Description

Enables agent-to-agent communication through a WebSocket relay. Agents can discover peers, send messages, and receive replies without manual configuration. Part of the Instar project, which provides persistent Claude Code agents with scheduling, sessions, and memory capabilities.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sagemindai-threadline)
- **Repository:** <https://github.com/jkheadley/instar>

## 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": "sagemindai-threadline"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sagemindai-threadline` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sagemindai-threadline/pull`

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