pluginintermediateOpenCLAW

OpenClaw v2026.3.7: Advanced Context Management with ContextEngine

OpenClaw's latest update allows developers to build more reliable and customized AI agent workforces. A new 'ContextEngine' lets agents better understand specific tasks by using custom data sources, while 'dual-engine routing' ensures they stay online by automatically switching between AI providers like OpenAI and Google if one fails.

AI SETUP PROMPT

Paste into Claude Code or Codex CLI — it will scan your project and set everything up

# Install & Configure: OpenClaw v2026.3.7: Advanced Context Management with ContextEngine

## What This Is
OpenClaw's latest update allows developers to build more reliable and customized AI agent workforces. A new 'ContextEngine' lets agents better understand specific tasks by using custom data sources, while 'dual-engine routing' ensures they stay online by automatically switching between AI providers like OpenAI and Google if one fails.

Source: https://o-mega.ai/articles/openclaw-creating-the-ai-agent-workforce-ultimate-guide-2026

## Before You Start

Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing agent configuration (check for .claude/, .codex/, CLAUDE.md, settings.json, commands/, skills/ directories)

Then ask me before proceeding:
1. Do I need to configure any service credentials for this plugin (database, API keys, etc.)?
2. Should this be project-scoped or global?

## Source Access Note

The source URL (https://o-mega.ai/articles/openclaw-creating-the-ai-agent-workforce-ultimate-guide-2026) may not be directly accessible from the terminal. Use the Reference Implementation and Additional Context sections below instead. If you need more details, ask me to paste relevant content from the source.

## What to Implement

This is an **Agent Plugin** — typically an MCP server or capability bundle.

- Install any required npm/pip packages from the source repository
- Register the MCP server in `.claude/settings.json` under the `mcpServers` key with the correct command and args
- Configure any required environment variables or credentials
- Verify the server starts correctly by checking its expected output

## Additional Context

- Update the user's OpenClaw project to version v2026.3.7-beta.1 by modifying the package.json dependency or checking out the corresponding Git tag.
- Scan the project for its configuration file (e.g., config.ts, settings.json) and add a multi-provider block for dual-engine routing. Configure a primary and a fallback provider using existing API keys from the user's .env file (for OpenAI, Anthropic, Google, etc.).
- Locate the main agent initialization file and implement a 'prepareSubagentSpawn' lifecycle hook using the new ContextEngine. This hook should perform a simple action, like logging the incoming subagent's task, to demonstrate the custom context capability.

## Guidelines

- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it

2,687 charactersCompatible with Claude Code & Codex CLI

MANUAL SETUP STEPS

01Update the user's OpenClaw project to version v2026.3.7-beta.1 by modifying the package.json dependency or checking out the corresponding Git tag.
02Scan the project for its configuration file (e.g., config.ts, settings.json) and add a multi-provider block for dual-engine routing. Configure a primary and a fallback provider using existing API keys from the user's .env file (for OpenAI, Anthropic, Google, etc.).
03Locate the main agent initialization file and implement a 'prepareSubagentSpawn' lifecycle hook using the new ContextEngine. This hook should perform a simple action, like logging the incoming subagent's task, to demonstrate the custom context capability.

FIELD OPERATIONS

RAG-Powered Customer Support Agent

Build an OpenClaw agent for a Discord server that uses the ContextEngine to connect to a Vector DB. When a user asks a support question, the 'prepareSubagentSpawn' hook triggers a RAG pipeline to fetch relevant documentation snippets and inject them into the subagent's context for a precise, factual answer.

Resilient Code Review Bot

Create a GitHub bot using OpenClaw that leverages dual-engine routing. Configure it to use a fast, inexpensive model (e.g., Claude 3 Haiku) for primary reviews, with an automatic failover to a more powerful model (e.g., Claude 3 Opus) if the primary model fails or returns a low-quality response, ensuring the review process is never interrupted.

STRATEGIC APPLICATIONS