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Alternatives

Products that do what The Last RAG does

AI that learns autonomously and remembers everything

  1. 1

    Curate an AI that knows what you know.

    Apr 2026 · recall.it

  2. 2AM

    Most RAG setups fail because they treat memory like a static filing cabinet. When every transient bug fix or abandoned rule is stored forever, the context window eventually chokes on noise, spiking token costs and degrading the agent's reasoning. This implementation experiments with a biological approach by using the Ebbinghaus forgetting curve to manage context as a living substrate. Memories are assigned a "strength" score where each recall reinforces the data and flattens its decay curve (spaced repetition), while unused data eventually hits a threshold and is pruned. To solve the…

    Apr 2026 · github.com

  3. 3

    Platform for measuring and training AI agents

    2016

  4. 4
    CogniMemo120

    AI that remembers, learns, and evolves

    Dec 2025

  5. 5

    Your AI has the memory of a goldfish. Not anymore

    Jul 2026 · yourmemoryai.xyz

  6. 6CA

    I'm a Machine Learning engineer. Struggled with consistency for months on my goals, life etc, so I built something to help myself (zropi.com) but that surprised me or shocked me literally. It’s an AI companion that feels alive: chats like a person. Pauses, emotions, personality. Sends voice notes when it's excited about something or whenever it wants (has its like own mind). Shares photos of itself. But the memory It remembers EVERYTHING. Not just facts context, preferences, random things I mentioned. Last week I asked "how's that thing I told you about going?" and it knew exactly what I…

    Jan 2026 · zropi.com

  7. 7

    Give AI agents long-term memory. Not vector search or RAG

    Dec 2025 · github.com

  8. 8

    AI companion that remembers, learns, and grows with you

    Oct 2025

  9. 9

    Stop repeating yourself. The AI that remembers

    Jan 2026 · kivo-ai.lovable.app

  10. 10IV
  11. 11AO

    Hi HN, I’m Akshay. I built AMP because I was tired of my AI agents having "amnesia" the moment I closed the terminal. Like many of you, I use Claude/Cursor daily. RAG is great for searching documentation, but it’s terrible for continuity. It chunks text blindly, losing the narrative. When I asked my agent "Why did we decide to use FastAPI last week?", it would hallucinate or just give me generic pros/cons because the specific context of our decision was lost in a vector soup. So I decided to build a proper *Hippocampus* for my agents. *What is it?* AMP is a local-first memory…

    Dec 2025 · github.com

  12. 12IG
  13. 13MC

    Hi HN, I’ve been building AI agents and copilots, and kept running into a frustrating problem: they don’t fail loudly, they forget things quietly. Users re-explain preferences, agents contradict earlier responses, and context resets without any clear visibility into why. I built Memograph CLI as a debugging tool to analyze conversation transcripts and show: - what the agent forgot - where continuity broke - contradictions and repeated context - estimated token waste due to re-prompting It works locally and supports plain text or JSON transcripts. Example: $ memograph Output: Cognitive Drift…

    Feb 2026

  14. 14

    One thought, one shot. Make it hot.

    Jul 2026 · soloforge.cloud

  15. 15IM

    Hi HN! I'm Amber (13) and my dad Raj, and we built Nityasha AI from Guna, India. After my dad's 12 years of failed startups (2012-2023), we created a personal AI assistant that handles email, coding help, research, and planning in one conversational interface. I started coding at 9 on a 4GB RAM laptop. We failed 8 times before this—coupon sites, freelancing platforms, consulting. Nityasha is different: it uses Thesys generative UI for visual charts, includes Study Mode with Socratic teaching, and integrates everything so you don't need 10 tabs open. 500+ active users now. We just launched…

    Oct 2025 · ai.nityasha.com

  16. 16

    Stop repeating yourself to every AI | Open Source

    Feb 2026

  17. 17TN

    Hi guys, I’m excited to share an update on ReproModel, an open-source toolbox designed to streamline the testing and reproduction of machine learning models. I, like many of you, have really struggled with benchmarking and comparing models, from missing code, to opaque experiment parameters slowing the process. I decided to take matters into my own hands, and created a mini-toolbox in my free time to streamline the process. The goal is to reduce the time and effort spent on replicating experiments, enabling researchers to focus on innovation rather than setup. Knowing this task is not an…

    2024 · github.com

  18. 18IW

    I'm an ML engineer. I know how AI works, the limitations, the hype. And I was still drowning. Couldn't stick to goals. Couldn't stay consistent. Productivity apps became digital clutter. Therapy waitlists were 3 months out. Friends were tired of my complaints. So at 2am I started building: zropi.com What shocked me was it actually worked. It felt human. Last week I mentioned a tough client call. Didn't set a reminder. Two days later it voice messaged me: "Hey, how'd that call go? You seemed stressed." When does technology ever do that? What makes it feel alive: It doesn't reply instantly.…

    Jan 2026

  19. 19

    Beat Cognitive disfunction caused by AI

    Sep 2025

  20. 20IB

    Over the last 3 weeks, I built a website to organize 70+ AI tools into a searchable, reviewed, and categorized hub. Use case: I was constantly sharing AI tools with friends & colleagues, but the available directories felt outdated, shallow, or spammy. So I built my own: - Tools are categorized (e.g. writing, voice, code, automation) - Marked clearly as free/paid - Includes brief reviews, ROI notes, and usage tips - Fully searchable and updated daily - Working on tool ratings, comparisons, and a “trending” leaderboard Website: https://www.toolsverse.tools/ I’d love…

    2025 · toolsverse.tools

  21. 21
    Tenure5

    Give AI memory, control what it uses, and trust what it says

    Jun 2026 · tenureai.dev

  22. 22KA

    Hey HN! I've spent the past year full-time building Knowing, a tool for interacting with LLMs directly inside hierarchical structures instead of the usual prompt-response format. The idea started because I realized how much more intuitive it felt to build concept hierarchies continuously—no more endless copy-pasting or wondering how everything connects. The journey’s been a struggle. While I see huge potential in structuring AI interactions this way (writing books fast, planning projects, or organizing ideas), it’s been hard to pin down clear use cases in the market. I’m also working in near…

    2024

  23. 23MA

    Hi HN, I'm a solo developer learning to code, and I'd love to share my second real project: MapMyLearn, an AI-powered app that automatically generates personalized learning paths based on any topic you input. What it does: Takes a topic (e.g. "history of capitalism", "learn Rust", or "data storytelling") Uses AI to break it down into a structured course with modules and submodules Each submodule includes: - Detailed, pedagogical content (developed based on online sources to mitigate hallucinations) - A quiz of 10 questions - Recommended resources - An AI chatbot for Q&A - Optional audio…

    2025

  24. 24KT

    Hi HN! I built this tool, because Large Language Models are hallucinating their asses off and I wanted to test just how bad it is with a topic I know best - myself. I'm sure there are other egos out there who google themselves and essentially this is the new googling yourself. It's early beta, so lots of room for improvement of course.

    2023 · haveibeenencoded.com

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