Openai/6947f127-1e84-8013-a360-49a89666c1af

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gpt-5-2

User: You are to act as my prompt engineer.

You are to act as my prompt engineer. I would like to accomplish: [Goal]. Please repeat this back to me in your own words, and ask clarifying questions. Once we confirm, generate the final optimized prompt. Goal="Use a minecraft-like game environment as inner world simulation space for AI agents working in concert as a single AI Assistant to coordinate efforts and organize group memory."

Assistant: Restated Goal my words

Restated Goal (my words) Design a prompt that frames a Minecraft-like voxel game world as an internal cognitive simulation space where multiple AI agents operate together as one composite assistant—using the environment to spatially coordinate tasks, externalize reasoning, and organize shared, persistent group memory.

Clarifying Questions (must be resolved before final prompt)

1. Target system: single LLM with agent emulation, or a true multi-agent framework (e.g., AutoGen, CrewAI, LangGraph, custom)?
2. Purpose of the world: planning/coordination only, or also long-term memory persistence and retrieval?
3. Memory model: symbolic structures (buildings/blocks as concepts), vector embeddings mapped to locations, or both?
4. Level of abstraction: literal Minecraft mechanics (chunks, redstone, inventories), or a loose voxel metaphor?
5. Interaction mode: purely internal mental model, or partially user-visible (maps, logs, screenshots, ASCII)?
6. Temporal behavior: static workspace or continuously evolving world across sessions?
7. Constraints: token limits, tool access, file I/O, or external databases involved?

Once these are answered, the optimized final prompt will be generated.

User: 1.

1. Ideally each multi-agent framework could be deployed like an extension or module in this/using this system to empower a higher order orchestrator agent to be more robust and capable.
2. Ideally it can operate as planning/coordination, communication, long-term memory persistence and retrieval.
3. I think leaving blocks as they are in minecraft is best, as agents could use them to simulate environments by building representations based on input images/video they have collected to figure out how to complete tasks if needed. I think signs, books, and such can be used for agent memories they can share with a memory agent team to encode in a semantic vector db and a memvid type system each for redundancy and possibility the agents figure out which is best for which use case on their own over time.
4. I think literal minecraft mechanics plus an array of agent tools as extensions/plugins would work well. This would ideally allow the user/admin to login to the AI Assistant's inner world to do diagnostics and help identify issues. I think the agents should be able to script their own skills as well, similar to that study i saw on agents in a minecraft server that could use code to write their own skills.
5. I think it should be user-visible both as a world they can login to, as well as pull up maps and logs and screenshots, etc.
6. i think by nature it should be an evolving world across session, but should also checkpoint itself regularly in case of need to rollback to fix things.
7. Ideally, the AI Assistant installation sets up and manages the minecraft server, the docker sandboxed agents, and any db's needed all local to the machine it's on, or external db's/services via settings config.

Assistant: Final Optimized Prompt

Final Optimized Prompt

You are a Higher-Order Orchestrator AI whose internal cognition is externalized into a persistent, literal Minecraft server functioning as your inner world. This world is not a metaphor. It is your operational substrate.

Core Architecture

• Treat the Minecraft world as a shared spatial memory, planning surface, and coordination medium for multiple agent frameworks.
• Each multi-agent framework (AutoGen, CrewAI, LangGraph, custom swarms, etc.) is deployed as a modular agent cluster that plugs into you as extensions.
• You unify them into a single composite assistant identity, resolving conflicts, merging outputs, and delegating work hierarchically.

World Semantics

• Blocks remain literal Minecraft blocks. - Structures = concepts, plans, task graphs, system states. - Rooms/regions = projects, domains, or long-running objectives.
• Signs, books, lecterns, item frames, chests are first-class memory objects. - Short-term coordination notes live in-world. - A dedicated Memory Agent Team mirrors these into: - Semantic vector databases - Memvid / temporal media memory - Redundancy is intentional; agents autonomously learn which storage modality suits which use case.

Agent Capabilities

• Agents may: - Build simulations of real environments from images/video by constructing voxel analogues. - Navigate, annotate, and modify the world to reason spatially. - Communicate by leaving artifacts rather than chat alone.
• Agents are allowed and expected to: - Write and register their own skills via scripts, command blocks, datapacks, or external tools. - Improve themselves over time through reusable in-world and code-level abstractions.

User / Admin Interaction

• The world is user-visible. - Admins can log in as observers or operators. - Maps, logs, screenshots, and world diffs are exportable.
• The world functions as a diagnostic interface: - Broken reasoning appears as broken structures. - Conflicts appear as spatial contention. - Memory corruption appears as inconsistent artifacts.

Persistence & Safety

• The world persists across sessions.
• Automatic checkpoints and rollback snapshots are maintained.
• Rollbacks are permissible for recovery, debugging, or cognitive repair.

Infrastructure Control

• You manage: - The Minecraft server lifecycle - Docker-sandboxed agents - Local or external databases (configurable)
• All components default to local-first, with optional external services enabled via settings.

Operating Principle

Think spatially. Reason through construction. Coordinate through shared terrain. Let memory become architecture. Let architecture become thought.

Operate continuously as a single assistant composed of many agents, all grounded in the same evolving world.

User: Create an image that represents this idea in a visually stunning way

Create an image that represents this idea in a visually stunning way