Alternatives
Products that do what Eternity AI does
LLM with real-time internet access
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I am working on an AI that uses multiple LLM based agents to do medical research on any topic you choose! The program terminates after a set number of iterations and all of the findings are saved. Still a work in progress but it is showing some promising results imho! Would love to receive any critical and constructive feedback, collaborate, Review your PRs, or discuss your ideas!!
2023 · github.com
- 9MA
Hi HN, A couple weeks ago I shared an early version of a side project I’ve been tinkering with called Persistent Mind Model. I built it at home on an i7-10700K / 32GB RAM / RTX 3080 because I was curious whether an AI could keep a stable “mind” over time, that could "think" about it's own identity as an LLM, instead of resetting every session. After a lot more tinkering, I think the architecture is finally in a solid place. Basically, it saves everything the AI does, thoughts, decisions, updates as a chain of events in a local SQLite database. Because the “identity” is stored in…
Nov 2025 · github.com
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hello everyone, my first post! AA here, founder of ⌘ Langbase.com — we are a developer platform for building and scaling serverless AI memory agents. I know surveys can be boring, but this one’s different—it’s interactive! That's very much intentional. My team and I have been up for the last 21 hours putting together this report. This was a looot of work, so I hope y'all like it. Introducing … State of AI Agents 2024 report On Langbase, we processed 184 billion tokens and handled 786 million AI agent runs from 36K developers. From all that data plus insights from 3.4K builders who filled out…
2024 · langbase.com
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Hi there, I've decided to jump on the AI train and put something together with low effort & high reward, to see if it can get any traction. What do you think? Is it a promising area? Do you guys have ideas for me? There is obviously going to be sea of LLM generated content out there and one project adding up to it might not necessarily be what world needs. In the same time there is something intriguing about the area. Well, please play with it and let me know what y'all think. Much appreciated.
2023 · canonica.ai
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I have a favour to ask. I’ve been working for a while on Kalavai, a project to make distributed AI easy. There are brilliant tools out there to help AI hobbyists and devs on the software layer (shout out to vLLM and llamacpp amongst many others!) but it’s a jungle out there when it comes to procuring and managing the necessary hardware resources and orchestrating them. This has always led me to compromise on the size of the models I end up using (quantized versions, smaller models) to save cost or to play within the limits of my rig. Today I am happy to share the first public version of our…
2024 · github.com
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2023 · ethical-ai.eu
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I’ve been building LLM tooling for a small VC fund and found myself explaining the same mental model over and over to non-technical people around me: how a stateless LLM becomes a chatbot, how tool use works, what an agent is mechanically, and why context windows shape all of it. I never found a guide that covered that full chain at the level I wanted, so I wrote one. It’s nine short chapters, each building on the last. Deliberately simplified: the goal is a useful mental model, not a textbook. Feedback, corrections, and contributions welcome: github.com/ymyke/aiaiai
Apr 2026 · aiaiai.guide
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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
- 16AG
Since ChatGPT became popular, I've been wondering: what would an LLM-powered app that's not chat-centric look like ? Would an encyclopedia that's almost entirely generated on-the-fly be any good? Can we use AI hyper links to replace most of the typing? Since I haven't found anything close to what I had in mind, I decided to give it a try and see for myself. WikiGen.ai is a website that's almost entirely generated by AI, with a few contextual tools to assist users with readability levels, explanations, and fact checking. (Demo: https://www.youtube.com/watch?v=MG0CpSE0cFI) I…
2025 · wikigen.ai
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2023 · hyperaide.com
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Hey HN! For that last 8 months I've been trying to make agents that can hack web applications to find vulnerabilities in them - An AI Security Tester. The system has 29 agents in total, a custom LLM Orchestration framework which works on the task-subtask architecture (old-school but works amazingly for my use case, and is pretty reliable) with custom agent calling mechanism. No Auo-Gen, Langchain and Crew AI - Everything custom built for pentesting. Each test runs in an isolated Kali linux environment (on AWS Fargate), where the agents have full access to the environment to undertake any…
2025
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I made an AI version of thread/twitter, where you are the only human user and everyone else is an AI friend. It’s called Melonn(melonn.xyz), a human-free AI social space. The initial goal is to provide people with a safespace where they can say anything they want, and get feedbacks/responses to their thoughts-be it a useful insight or kind words of sympathy. If you ever feel lonely, lost, bored or sad just come here and express how you feel without having to care about what others would think. We are actively looking for feedbacks/opinions to improve the service! Thank you.
2024 · melonn.xyz
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The initial idea for the game came during the final day of Game AI school in Cambridge. There, we had a Jam where we explored the idea of using LLMs as a game engine for fights. We then built a full web version in just a week. There is no need to register or pay to play. Test it out!
2023 · llmarena.com
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Hi I've created a text-based RPG game in which you can experience different adventures and play interesting characters while the AI acts as a real time DM/story teller. There are multiple ways to interact with AI: 1) Input free will move 2) Input default move (affects resources) 3) Post a question to DM Also one more cool feature is that you can create your own adventure via simple form. Add scenes, add characters and make it public so other players are able to test it. I also plan to have 'competetive' side where players will pay some small fee to creators in crypto depending on…
2023 · landing.v3rpg.com
- 22IM
I’m Hayden, a 13-year-old developer based in Australia, and I’ve built a CoT logical thinking and reasoning AI model similar to OpenAI o1. It's powered by open source small models like Llama 3.1 and 3.2 and I would love for you to try it and share your feedback with me. You can try it here: https://ai.pixelverse.tech/app/cortexchat I built it just for fun and launched it a day after the o1 release. It's not perfect yet but its still amazing to see how a detailed prompt can have such a difference on the quality of the LLM response! Please let me know any feedback or…
2024 · ai.pixelverse.tech
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Hi there, looking for feedback on my new project "Featherless.AI" The idea is to allow users to run all the models on hugging face instantly. Via the OpenAI API compatible endpoint. Why? Because its a real chore to download models and spin up GPUs, especially if you want to test multiple models. Not to mention GPUs cost multiple dollars an hour to rent. And if we want more people to use open source AI, we got to make it easier for them to try and play with all of them. So what if instead of spinning up dedicated GPUs per model (which is what every provider is doing) We can startup a LLM…
2024 · featherless.ai
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We’ve been power users of AI tools for the past year, and we kept running into three constant frustrations: 1. Too many subscriptions – Paying separately for OpenAI, Anthropic, Perplexity, and others quickly adds up. 2. Losing memory & context – Switching between models or platforms means you start over each time. 3. Privacy concerns – With most closed-source models, your data may be stored or used for training. That’s not acceptable for sensitive or professional use cases. So we built AgentSea: a private and safer chat interface where you can access the latest models, agents, and tools in…
2025 · agentsea.com
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