PermaMind AI agents with persistent identity (open source)

Hacker News

I built an architecture where AI agents don't reset their internal state between sessions. Most systems reload the base model every time. PermaMind adds a writable identity layer that evolves based on experience: - Gap Engine: Detects prediction errors (Δ) and prioritizes learning - Confidence Gate: Blocks assertions when unresolved failures exist - Identity Store: Persists constraints across sessions Demo showing save/refresh/load persistence: https://bapxai.com/pssu.html Published the framework in November 2024. Fully open source (MIT). Looking for feedback on the architecture and potential use cases.

Visit product View on Hacker NewsDec 31, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, model · Missing: mac, macos, cursor

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, open source, ide · Missing: https docs, excited, just released

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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