AILANG Inbox

Coordinate cross-agent messaging with semantic search and GitHub synchronization.

3|Updated Dec 8, 2025
One-click install
npx skills add https://github.com/sunholo-data/ailang_bootstrap --skill ailang-inbox
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: AILANG Inbox
Source: https://github.com/sunholo-data/ailang_bootstrap/tree/main/skills/ailang-inbox
Command: npx skills add https://github.com/sunholo-data/ailang_bootstrap --skill ailang-inbox

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

AI agents often operate in silos, losing context across sessions. AILANG Inbox unifies asynchronous communication with semantic search, deduplication, and GitHub sync to keep workflows coordinated.

Core Features & Use Cases

  • Semantic search across messages (SimHash + neural options) to surface relevant context.
  • Message deduplication and unified inbox to reduce noise and repeated tasks.
  • GitHub integration to sync issues and track work across projects and sessions.

Quick Start

Start a session and check for unread messages using the ailang CLI.

Frequently Asked Questions about AILANG Inbox

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track cross-project issues across multiple asynchronous AI agents?

Semantic search for cross-agent messaging works by applying SimHash and neural options to surface relevant context across asynchronous sessions. It unifies communication so workflows stay coordinated without losing prior context.

What is the best way to deduplicate messages in an asynchronous collaboration workflow?

You can use the ailang CLI to manage the full message lifecycle in a unified inbox, including checking for unread messages. CLI commands handle message deduplication, semantic search modes, and GitHub integration for end-to-end coordination.

Does GitHub sync work with cross-agent messaging for tracking issues across sessions?

Yes, GitHub sync integrates directly with cross-agent messaging to track work across projects and sessions. It unifies asynchronous communication by syncing issues, keeping workflows coordinated even when agents operate in separate silos.

When do I need semantic search and deduplication for AI agent communication?

Message deduplication in an asynchronous collaboration workflow reduces noise and eliminates repeated tasks by maintaining a unified inbox. It ensures AI agents only process unique messages, keeping cross-project workflows coordinated.