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Test the integration of Memory, AgentQL, Browserbase, and ActionKit for multi-platform research and automation.

Description

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  • Changes to:

Motivation and Context

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Breaking Changes

Types of changes

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to change)
  • Documentation update

Checklist

  • I have read the MCP Protocol Documentation
  • My changes follows MCP security best practices
  • I have updated the server's README accordingly
  • I have tested this with an LLM client
  • My code follows the repository's style guidelines
  • New and existing tests pass locally
  • I have added appropriate error handling
  • I have documented all environment variables and configuration options

Additional context

Test the integration of Memory, AgentQL, Browserbase, and ActionKit for multi-platform research and automation.
Copilot AI review requested due to automatic review settings November 4, 2025 09:44
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Pull Request Overview

This PR introduces a new integration test suite for a "SuperAgent" workflow that combines multiple services: Memory, AgentQL, Browserbase, Sequential Thinking, and ActionKit. The test outlines a scenario where an agent researches competitors, stores insights in a knowledge graph, extracts pricing data from websites, and auto-updates Salesforce.

Key Changes:

  • Added a new test file with a skeleton test case that outlines a multi-platform research and automation workflow
  • Defined 5 TODO steps covering the integration of Memory, AgentQL/Browserbase, Sequential Thinking, ActionKit, and persistence

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@domdomegg
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Thanks for your contribution! While we appreciate the thought you've put into this, it doesn't align with our current plans. We'd encourage you to check out our contributor guidelines and roadmap to see what areas we're actively looking for help with. Thanks for understanding!

@domdomegg domdomegg closed this Nov 25, 2025
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2 participants