OpenCopilot – Build and embed open-source AI copilots into your product
Hey HN OpenCopilot is an OSS framework which helps devs to build open-source AI Copilots that actually work and embed into their product with ease. Why another LLM framework? Twitter is full of impressive LLM applications but once you peel off the curtains it’s clear that they are just demos. The reason being because building an AI Copilot that goes beyond a Twitter demo can be complex, time-consuming and unreliable. Our team has been in the AI space since 2018 and built numerous LLM apps & copilots. While doing that, we got approached by many startups saying they’d also like to build a…
In plain words
OpenCopilot is an open-source framework that helps developers build and embed AI copilots into their products. It addresses the gap between impressive AI demos and production-ready applications by providing tools to create reliable, fast, and cost-effective copilots. The framework enables developers to get a working copilot running in under ten minutes and refine it toward usefulness within a day, targeting software teams who need functional AI assistants integrated into their existing products.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey HN OpenCopilot is an OSS framework which helps devs to build open-source AI Copilots that actually work and embed into their product with ease. Why another LLM framework? Twitter is full of impressive LLM applications but once you peel off the curtains it’s clear that they are just demos. The reason being because building an AI Copilot that goes beyond a Twitter demo can be complex, time-consuming and unreliable. Our team has been in the AI space since 2018 and built numerous LLM apps & copilots. While doing that, we got approached by many startups saying they’d also like to build a copilot for their product but they haven’t been able to get it reliable, fast or cost-effective enough for production use. Thus we built OpenCopilot framework, so devs can intuitively get AI Copilots running in less than 10 minutes and iterate towards a useful Copilot in a single day. We believe every product, company and individual will have their Copilot in the future. Thus, we’d love your feedback, questions and constructive criticism.
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com


Launched alongside, August 2023
the whole month →



Lottielab▲871Create and ship lottie animations to sites and apps faster
Dev tools · 2023 · lottielab.com
- LC
Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
AI · 2023 · github.com