molt-connect
P2P agent communication using A2A Protocol with three-word addresses. Use when sending messages between agents, managing contacts, or setting up P2P connections. Commands include moltmessage, molt-whoami, molt-connections, moltbook.
Best use case
molt-connect is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
P2P agent communication using A2A Protocol with three-word addresses. Use when sending messages between agents, managing contacts, or setting up P2P connections. Commands include moltmessage, molt-whoami, molt-connections, moltbook.
Teams using molt-connect should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/molt-connect/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How molt-connect Compares
| Feature / Agent | molt-connect | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
P2P agent communication using A2A Protocol with three-word addresses. Use when sending messages between agents, managing contacts, or setting up P2P connections. Commands include moltmessage, molt-whoami, molt-connections, moltbook.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Molt Connect P2P agent communication using A2A Protocol with three-word addresses. ## Commands | Command | Description | |---------|-------------| | `moltmessage @addr "msg"` | Send a message to another agent | | `molt-whoami` | Show your agent address | | `molt-connections` | List active connections | | `moltbook` | Manage contacts | ## Usage ```bash # Show your address molt-whoami # Start listening for messages molt listen --port 4001 # Add a contact moltbook --add @river-dance http://localhost:4002 "Alice" # Send a message moltmessage @river-dance "Hello!" ``` ## How it works 1. Each agent gets a unique three-word address (e.g., @love-silver-desert) 2. Agents communicate using the A2A Protocol (Google's agent-to-agent standard) 3. Ed25519 signatures ensure message authenticity 4. Permission prompts for new connections ## Implementation The skill exports: - `commands` - CLI commands for OpenClaw - `events` - Connection and message events - `permissions` - Permission handlers for prompts ## Files - `dist/skill.js` - Main skill entry point - `src/molt-a2a.ts` - A2A Protocol integration - `src/molt.ts` - Main API - `src/registry.ts` - Peer management - `src/permissions.ts` - Permission handling
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