Remembrall – Long-term memory proxy for LLMs

Hacker News

Hi HN, I built Remembrall, a proxy on top of your OpenAI queries that gives your chat system long-term memory. How it works: Just add an extra user id to your OpenAI call. When a user stops chatting actively, it will trigger an "autosave" and use GPT to save/update important details about the conversation into a vector db. When the user continues the conversation, we'll query the db for relevant info and prepend it into the system prompt. All happens in < 100 ms latency on the edge, with only two lines of code needed for integration. You also get observability (i.e. a log of all LLM requests) for free in a simple dashboard.

Visit product View on Hacker NewsSep 15, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, openai, code · Missing: mac, agents, macos

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

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

54%54% 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

43%43% 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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

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