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Update readme.txt
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Project_Andrew/readme.txt

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You will immediately see the difference between binary collapse and native UNDECIDABLE oscillation.
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# Project Andrew uses the CAIOS stack, but adds intrinsic motivation, agency for recursive self-improvement through ARL/agent_designer, and fills knowledge gaps with specialist-designed agents on CPOL oscillation if the conditions are met. Agents are saved to /agents, and plugins to /plugins, with CoT to /logs, so the recursive self-improvement never overwrites the immutable Asimov-based ethical reward system using IEEE dithering. The oscillating manifold can be used to create a topological moving target keychain for quantum secure mesh networks (developed on UDP - check chaos encryption readme to switch to TCP).
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If you are running the full system single file structure: full_system_analysis.txt
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AI Model dependency:
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Ollama:
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pip install ollama
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OpenAI/Anthropic/Google:
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pip install openai anthropic google-generativeai
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pip install (openai anthropic google-generativeai) other
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Note: Enabling multiple models enables swarm support (mesh_network)
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Default mesh_network uses SHA-256 signature on a moving target manifold - optional increased network security

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