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agentic-stack

Provide a portable agent layer for consistent AI behavior across coding harnesses.

Updated Jul 5, 2026
Search Tags:#AI-agents#coding-agent#data-layer#agent-portability#Brain-memory
One-click install
npx skills add https://github.com/prince3626ezechiel-lang/ivoire-monade-palantir --skill agentic-stack
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agentic-stack
Source: https://github.com/prince3626ezechiel-lang/ivoire-monade-palantir/tree/main/skills/agentic-stack
Command: npx skills add https://github.com/prince3626ezechiel-lang/ivoire-monade-palantir --skill agentic-stack

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires brain, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The agentic-stack Skill unit addresses the issue of maintaining consistent agent behavior across various coding-agent harnesses by providing a portable layer that survives tool switches.

Core Features & Use Cases

  • Portable Agent Layer: Ensures seamless transition and knowledge retention for agents across different coding tools.
  • Data Layer: Allows monitoring harness activity, KPIs, and more from a central location.
  • Data Flywheel: Converts approved runs into artifacts for trace records, eval cases, and more without training models.
  • Brain Memory Integration: Adds optional support for the codejunkie99/brain external memory system for long-term memory management.
  • Adapters: Offers support for Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, GitHub Copilot CLI, Google Gemini CLI, Hermes, Pi Coding Agent, Codex, Antigravity, and Python-based harnesses.

Quick Start

To start using the agentic-stack, run the following command in your project directory: agentic-stack claude-code

Frequently Asked Questions about agentic-stack

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

FAQPage Schema
How do I maintain consistent AI agent behavior across different coding harnesses?▼

A portable agent layer maintains consistent AI behavior across different coding harnesses by surviving tool switches. It integrates a local data layer and external Brain memory to ensure seamless knowledge retention during transitions.

Does the portable agent layer support Claude Code, Cursor, and GitHub Copilot CLI?▼

Yes, the portable agent layer supports Claude Code, Cursor, Windsurf, GitHub Copilot CLI, Google Gemini CLI, Codex, and Python-based harnesses. It uses adapters to ensure seamless transition and knowledge retention across these specific tools.

How do I start using the agentic-stack layer for project management?▼

To start using the agentic-stack, run the command `agentic-stack claude-code` in your project directory. This initializes the portable memory-and-skills layer, enabling centralized monitoring of harness activity and KPIs for project management.

What is a data flywheel for coding agents and how does it create artifacts?▼

A data flywheel converts approved coding agent runs into artifacts for trace records and eval cases without training models. It operates within the local data layer to capture project management activity and generate traceable outputs.

Do I need the brain dependency to use the portable agent layer?▼

The brain dependency is required for optional long-term memory management via Brain memory integration. The core portable agent layer itself provides a local data layer for knowledge retention, but external brain support enhances multi-agent environments.

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