Multi-Chat Context Manager for Openclaw

A CLI utility for storing and retrieving persistent chat history and conversation contexts across various channels and users.

derick001
v1.0.0
Feb 25, 2026
0
1.3k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install multi-chat-context-manager

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install multi-chat-context-manager using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Multi-Chat Context Manager?

Multi-Chat Context Manager is a specialized CLI tool designed to bridge the gap between stateless scripts and persistent conversational experiences. It allows developers using Openclaw Skills to maintain a structured history of interactions keyed by specific channel, user, or thread identifiers. By leveraging a simple JSON-based storage mechanism, it provides a lightweight way to ensure that your AI agents remember previous exchanges.

As a core utility within the ecosystem of Openclaw Skills, this tool provides the foundational logic needed for building more complex, context-aware integrations. It acts as a manual key-value store for conversation data, making it ideal for developers who need full control over how and when history is saved or recalled.

Multi-Chat Context Manager Use Cases

  • Manually preserving conversation history across specific Discord or Telegram channels.
  • Implementing a persistent memory layer for custom scripts built using Openclaw Skills.
  • Developing multi-platform chat integrations that require independent user context tracking.
  • Clearing or auditing stored interaction logs for specific user sessions.

How Multi-Chat Context Manager Works

  1. The user invokes the CLI script with specific flags like channel and user to define the context scope.
  2. New interactions are appended to a JSON-formatted history array via the store command.
  3. The retrieve command queries the local data store to return the full conversation history for the specified identifiers.
  4. Developers can integrate these commands into their broader workflows to inject previous context into AI prompts using Openclaw Skills logic.

Multi-Chat Context Manager Setup

Ensure you have Python 3.x installed. This tool is designed to work as a standalone utility or within your Openclaw Skills directory.

# Store a new message and response in context
python3 scripts/context_manager.py store --channel "telegram-123" --user "user-456" --message "Hello" --response "Hi there"

# Retrieve the history for a specific channel and user
python3 scripts/context_manager.py retrieve --channel "telegram-123" --user "user-456"

# Clear all data for a specific channel
python3 scripts/context_manager.py clear --channel "telegram-123"

Multi-Chat Context Manager Data Schema & Taxonomy

The tool uses a structured JSON format to organize data. Each entry is keyed by a combination of channel and user IDs to ensure data integrity within Openclaw Skills.

Field Type Description
channel_id string The unique identifier for the chat channel or platform thread.
user_id string The unique identifier for the specific user in the conversation.
history array A list of objects containing message and response string pairs.

Multi-Chat Context Manager Advanced Features

  • Independent context isolation ensuring no data leakage between different users or platforms.
  • Bulk management via the list command to view all active stored sessions across your Openclaw Skills.
  • Granular control over context lifecycle with the clear command for data privacy and session resetting.
  • Extensible JSON structure that can be easily parsed by other scripts or automated workflows.

SKILL.md


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