Life & fun · alternatives · 2026
24 alternatives to Mini-AGI – Dynamic continual learning model trained on 8GB VRAM
Continual learning model trained from scratch on 8GB VRAM laptop with batch-1 stream of data. - volotat/mini-AGI
Mini-AGI is a continual learning model designed to train from scratch on resource-constrained hardware, specifically 8GB VRAM laptops. It processes data as a batch-1 stream, enabling learning on devices with limited… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.
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Announcing GPT-4.1, GPT-4.1 mini, & GPT-4.1 nano in the API
2025 · openai.com · its alternatives →
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MiniMax M2.7▲378Self-evolving AI model powering autonomous agents
Mar 2026 · agent.minimax.io · its alternatives →
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Tighter instruction adherence in speech agents
Feb 2026 · developers.openai.com · its alternatives →
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Fast and efficient models optimized for coding and subagents
Mar 2026 · openai.com · its alternatives →
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Open Prompts is the dataset used to build krea.ai. The data comes from the Stability AI Discord and includes around 10M images from 2M prompts. You can use it for creating semantic search engines of prompts, training LLMs, fine-tuning image-to-text models like BLIP, or extracting insights from the data—like the most common combinations of modifiers.
2022 · github.com · its alternatives →
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RISC-V's compressed instruction (RVC) extension is intended as an add-on to the regular, 32-bit instruction set, not a replacement or competitor. Its designers intended RVC instructions to be expanded into regular 32-bit RV32I equivalents via a pre-decoder. What happens if we explicitly architect a RISC-V CPU to execute RVC instructions, and "mop up" any RV32I instructions that aren't convenient via a microcode layer? What architectural optimizations are unlocked as a result? "Minimax" is an experimental RISC-V implementation intended to establish if an RVC-optimized CPU is, in practice, any…
2022 · github.com · its alternatives →
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MiniMax H3▲333MiniMax H3 is a multimodal AI video generator that turns text, images, video clips, and audio into coherent cinematic videos with native stereo sound. It lets you mix up to 12 references in one pass, maintain character and style consistency, and perform precise instruction-based
Jul 2026 · minimax.io · its alternatives →
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very much inspired by karpathy's microgpt of the same name. it's (by default) a 4000 param GPT/LLM/NN that learns to generate names. this is sorta an educational tool in that you can visualize the activations as they pass through the network, and click on things to get an explanation of them.
Feb 2026 · microgpt.boratto.ca · its alternatives →
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Persistent memory for Claude, ChatGPT & Cursor. Free.
May 2026 · github.com · its alternatives →
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Minimal, readable LLM post-training experiments on one 8GB GPU. Measures forgetting, seed variance, and RL emergence. - pochenai/nano-llm-posttraining
Aug 2026 · github.com · its alternatives →
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Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM - jmaczan/tiny-vllm
May 2026 · github.com · its alternatives →
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PromptPerf▲139Instantly test and compare AI prompts results across models
2025 · promptperf.dev · its alternatives →
- 15IM
2023 · vram.asmirnov.xyz · its alternatives →
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A robust Python tool for text-based AI training and generation using GPT-2. - minimaxir/aitextgen
2020 · github.com · its alternatives →
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Ultra-efficient 1.3B vision-language model for mobile
May 2026 · github.com · its alternatives →
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MiniCPM5-1B▲96A new SOTA for compact open models on the edge
May 2026 · huggingface.co · its alternatives →
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A ranked ladder for small neural networks that play strategy games. Train a model, write an adapter, upload two files, and get measured into a weight class from 8 KiB up.
Sep 2026 · tinybrains.dev · its alternatives →
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Absolute minimalistic implementation of a GPT-like transformer using only numpy (<650 lines). - joennlae/tensorli
2023 · github.com · its alternatives →
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I have a proposal that addresses long-term memory problems for LLMs when new data arrives continuously (cheaply!). The program involves no code, but two Markdown files. For retrieval, there is a semantic filesystem that makes it easy for LLMs to search using shell commands. It is currently a scrappy v1, but it works better than anything I have tried. Curious for any feedback!
Apr 2026 · github.com · its alternatives →
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An on-premises, bare-metal solution for deploying GPU-powered applications in containers - emergingstack/es-dev-stack
2016 · github.com · its alternatives →
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Hi everyone, I started working on nanoeuler after the ban of anthropic's fable because my ambition and dream is to work in the AI field in anthropic. The two interesting reasons that led me to create nanoeuler were (1) interfacing with llm does not mean understanding how they are composed and (2), working on llm with a very low-level layer to understand the correlation between parameters and data and growth of the model and how the GPU works and how some layers can be optimized. So I started working on it with a research aspect by making nanoeuler grow more and more but doing one step after…
Jun 2026 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →