{"id":46941234,"title":"Show HN: Entelgia–a consciousness-inspired,multi-agent AI with persistent memory","points":1,"user":"sivanhavkin","time":1770607551,"time_ago":"10 hours ago","type":"link","content":"

I’m sharing Entelgia, a research-oriented multi-agent AI architecture I’ve been working on.

Entelgia is not a chatbot, but an experiment in how persistent identity, internal conflict, emotional regulation, and moral reasoning can emerge from structure rather than hard-coded rules.

Two primary agents engage in continuous dialogue across sessions, backed by a shared persistent memory (SQLite + STM), with mechanisms for:

internal conflict (id / ego / superego dynamics)

emotion tracking and importance scoring

memory promotion through error, repetition, and affect

bounded short-term memory (LRU)

observer-based correction loops (meta-cognitive layer)

The system runs fully locally using a local LLM (via Ollama) for privacy and reproducibility.

I recently completed a production-ready rewrite, focusing on:

deterministic system behavior

bounded memory growth

structured logging

privacy / PII redaction

testability and long-running stability

This is not a claim about artificial consciousness — the terminology is used strictly as architectural metaphor to explore internal regulation and continuity over time.

Repo (README explains both how and why):\nhttps://github.com/sivanhavkin/Entelgia

I’d especially appreciate feedback from people interested in:

multi-agent systems

memory architectures

alignment via internal structure rather than external constraints

long-running LLM systems

Happy to answer questions or hear criticism.","url":"https://github.com/sivanhavkin/Entelgia","domain":"github.com","comments":[],"comments_count":0}