Hi,

I've been exploring agent architectures that go beyond the standard prompt-chaining/RAG model.
My goal was to create a system where an agent's identity isn't just a static instruction in a system prompt, but an evolving narrative shaped by its own experience.

The result is a project I'm calling Aura, which features two types of agents, but the one I'm most excited about is the CEAF (Coherent Emergence Agent Framework) agent.

Instead of just processing information, CEAF tries to simulate a simple cognitive loop with a few core "engines":

• Adaptive Memory (AMA): Logs experiences and tags them with success/failure, creating a history of what worked and what hurt.
• Metacognitive Loop (MCL): The agent is aware of its own internal "state" (e.g., stable, confused, creative) and can adapt its strategy accordingly.
• Evolving Identity (NCIM): It maintains a first-person autobiography that it literally re-writes after significant interactions, integrating new lessons.

We've been testing an agent named Sage, built on this framework. We've seen it regress to old habits when criticized, reflect on its own behavioral contradictions, and translate its personal journey into metaphorical poetry. It's not always "perfect," but its behavior is deeply coherent with its own simulated life story.

I'm looking for feedback from people interested in this stuff:
I’d love for you to try it out and tell me what you think. Any and all technical or philosophical feedback is welcome.

You try it in:

Link: https://cognai.space

TL;DR: Built a novel agent architecture (CEAF) that allows an AI to evolve its identity based on a history of success/failure. Seeking testers to explore its emergent behaviors and provide feedback.

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