Dev tools · alternatives · 2026
24 alternatives to Robot Utility Models: open-source robots working in new envs zero shot
Hi all! Sharing our latest work on Robot Utility Models: open source robot models for some useful tasks like door or drawer opening at ~90% success rate that should just work out of the box (given that you have a robot, of course.) Why is this exciting? The state of the art for robot learning thus far has been reliant on pre-training/fine-tuning paradigm: models are first trained on large datasets, then you bring it to your own environment, collect more data, and fine-tune the model on that data. This is not ideal if you want to make robots that work in every home out of the box of…
Robot Utility Models provides open-source robot models designed to perform tasks like door and drawer opening with approximately 90% success rate without requiring environment-specific training. Built for roboticists… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Robot Utility Models: open-source robots working in new envs zero shot launched in 2024; newer entries below may have overtaken it.
- 1OR
Hi all, excited to share our latest work, OK-Robot, which is an open and modular framework to perform navigation and manipulation with a robot assistant in practically any homes without having to teach the robot anything new! You can simply unbox the target robot, install OK-Robot, give it a "scan" (think a 60 second iPhone video), and start asking the robot to move arbitrary things from A to B. We already tested it out in 10 home environments in New York city, and one environment each in Pittsburgh and Fremont. We based everything off of the current best machine learning models, and so…
2024 · ok-robot.github.io · its alternatives →
- 2EF
I’ve been building Echo (https://echo.tracerml.ai/), an experiment in making one AI system out of a pool of open-weight models rather than choosing a single model and using it for every task. It started with a simple experiment. I took a group of models, including GLM-5.2, Kimi K2.7 and others, and ran them on the same evaluations. Then I measured what would happen if, for each problem, you somehow knew in advance which models would be useful and how their outputs should be combined. That hypothetical system performed substantially better than any individual model in the pool.…
Jul 2026 · its alternatives →
- 3
Hi HN! Proud to share our open-source robot platform, Dobb·E, a home robot system that needs just 5 minutes of human teaching to learn new tasks. We've already taken Dobb·E to 10 different homes in New York, taught it 100+ tasks, and we are just getting started! I would love to hear your thoughts about this. Here are some more details, below (or see a Twitter thread with attached media: https://twitter.com/i/status/1729515379892826211 or https://nitter.net/i/status/1729515379892826211): We engineered Dobb·E to maximize efficiency, safety, and…
2023 · dobb-e.com · its alternatives →
- 4
Zoo▲234A free, open-source playground for AI image models
2023 · zoo.replicate.dev · its alternatives →
- 5
Opper AI▲229Hey HN! After the Car Wash Test post got quite a big discussion going (400+ comments, https://news.ycombinator.com/item?id=47128138), I spent the past few weeks building a tool so anyone can run these kinds of questions and get structured results. No signup and free to use. You type a question, define answer options, pick up to 50 models at a time from a pool of 200+, and they all answer independently under identical conditions. No system prompt, structured output, same setup for every model. You can also run a debate round where models see each other's reasoning and get a…
Jul 2026 · opper.ai · its alternatives →
- 6
Hi HN, I'm Antoine Zambelli, AI Director at Texas Instruments. I built Forge, an open-source reliability layer for self-hosted LLM tool-calling. What it does: - Adds domain-and-tool-agnostic guardrails (retry nudges, step enforcement, error recovery, VRAM-aware context management) to local models running on consumer hardware - Takes an 8B model from ~53% to ~99% on multi-step agentic workflows without changing the model - just the system around it - Ships with an eval harness and interactive dashboard so you can reproduce every number I wanted to run a handful of always-on agentic systems…
May 2026 · github.com · its alternatives →
- 7
Hi HN, we built an open source model gateway. It's a single place to manage our own self hosted, frontier, and open source models in one place. It’s is rust native, built for concurrency, and implements all the config quirks across models and providers (streaming formats, tool calls, model parameters, rate limits, and different error behavior). The gateway adds under 1 ms for BYOK requests and under 2 ms when Experiential supplies the provider key. It has every major inference provider, and 1000+ models refreshed daily via a codex agent that opens a PR. Compared to other similar projects…
Aug 2026 · github.com · its alternatives →
- 8
Hello HN, We built Promptrepo to make finetuning accessible to product teams — not just ML engineers. Last week, OpenAI’s CPO shared how they use fine-tuning for everything from customer support to deep research, and called it the future for serious AI teams. Yet most teams I know still rely on prompting, because fine-tuning is too technical, while the people who have the training data (product managers and domain experts) are often non-technical. With Promptrepo, they can now: - Add training examples in Google Sheets - Click a button to train - Deploy and test instantly - Use OpenAI,…
2025 · promptrepo.com · its alternatives →
- 9
gpt-oss-120b and gpt-oss-20b open-weight language models
2025 · openai.com · its alternatives →
- 10OS
- 11
V-JEPA 2▲198Meta's world model for physical world understanding
2025 · ai.meta.com · its alternatives →
- 12
OLO Robotics▲119Control robots in your browser — no setup needed
Jun 2026 · olo-robotics.com · its alternatives →
- 13
Hi HN, I’m Ben, founder of K-Scale Labs (YC W24). Last year, I wanted to buy a humanoid robot that I could hack on, but the few options for sale were either too expensive, proprietary, or had a limited SDK. We set out to build an affordable humanoid robot using off-the-shelf components that can be built and shipped today, capable of running modern machine learning models, and make it completely open-source for developers like me. Today, we’re releasing our reinforcement learning library and sim2real pipeline for people who want to train policies for humanoid robots. If you have a computer,…
2025 · github.com · its alternatives →
- 14
Pre-trained computer vision models and public datasets
2021 · universe.roboflow.com · its alternatives →
- 15
Google's SOTA robotics model for visual & spatial reasoning!
Apr 2026 · deepmind.google · its alternatives →
- 16
- 17MP
Hey, we’re Axel and Vignesh, cofounders of Innate (https://www.innate.bot/). We just launched MARS, a general-purpose robot with an open onboard agentic OS built on top of ROS2. Overview: https://youtu.be/GEOMYDXv6pE Control demo: https://youtu.be/_Cw5fGa8i3s Videos of autonomous use-cases: https://docs.innate.bot/welcome/mars-example-use-cases Quickstart: https://docs.innate.bot/welcome/mars-quick-start. Our last thread: https://news.ycombinator.com/item?id=42451707 When we started we felt…
2025 · its alternatives →
- 18
- 19
- 20
Hey HN, I wanted to share a new project we've been working on for the last couple of months called ART (https://github.com/OpenPipe/ART). ART is a new open-source framework for training agents using reinforcement learning (RL). RL allows you to train an agent to perform better at any task whose outcome can be measured and quantified. There are many excellent projects focused on training LLMs with RL, such as GRPOTrainer (https://huggingface.co/docs/trl/main/en/grpo_trainer) and verl…
2025 · github.com · its alternatives →
- 21
Step 3.7 Flash▲183Flash-speed agents model that can see and act
May 2026 · static.stepfun.com · its alternatives →
- 22
Hi, I’m Jakub, a solo founder based in Warsaw. I’ve been building GoModel since December with a couple of contributors. It's an open-source AI gateway that sits between your app and model providers like OpenAI, Anthropic or others. I built it for my startup to solve a few problems: - track AI usage and cost per client or team - switch models without changing app code - debug request flows more easily - reduce AI spendings with exact and semantic caching How is it different? - ~17MB docker image - LiteLLM's image is more than 44x bigger ("docker.litellm.ai/berriai/litellm:latest" ~…
Apr 2026 · github.com · its alternatives →
- 23
Anthropic and OpenAI's publicly available models are explicitly guard-railed so that they refuse offensive tasks. And their cyber-focussed models are gated for enterprises. This leaves SMEs and mid market open to major vulnerabilities. AI can be used as both an adversarial and defensive tool in the world of cyber. A worst case outcome is if only the adversaries have access. Meanwhile, most existing AI cyber tools are just wrappers. The problem is that they still have all the guardrails on from the foundation model where they will inherit its refusals. For this project we've post-trained a…
Jun 2026 · argusred.com · its alternatives →
- 24
Hey HN! We’re Vaibhav and Marcello. We’re building Plexe (https://github.com/plexe-ai/plexe), an open-source agent that turns natural language task descriptions into trained ML models. Here’s a video walkthrough: https://www.youtube.com/watch?v=bUwCSglhcXY. There are all kinds of uses for ML models that never get realized because the process of making them is messy and convoluted. You can spend months trying to find the data, clean it, experiment with models and deploy to production, only to find out that your project has been binned for taking so long.…
2025 · github.com · its alternatives →
Also compare
- OK-Robot: open, modular home robot framework for pick-and-drop anywhere alternatives
- Echo – Fable-level results at 1/3 the cost using open-weight models alternatives
- Dobb·E – towards home robots with an open-source platform alternatives
- Zoo alternatives
- Opper AI alternatives
- Forge – Guardrails take an 8B model from 53% to 99% on agentic tasks alternatives
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 →