ReGenNexus Core – A Protocol for Universal App/Device Communication
Just open-sourced the core of ReGenNexus - a protocol to make any software/device interoperable. Current test examples include: • App integration • Multi-agent coordination • Security patterns • Simple connection templates Try the tests: git clone https://github.com/ReGenNow/ReGenNexus cd tests && pytest -v Looking for: - Feedback on the protocol design - Real-world use cases to prioritize - Contributors to expand test coverage Tech: Python-based, transport-agnostic
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- DPdevnexus – persistent context across repos, sessions, and engineersApr 2026 · github.com · ▲6
devnexus is an open-source cli that gives agents persistent shared memory across repos, sessions, and engineers. It maps out dependencies and relations at the function level, builds a code graph, and writes it into a shared Obsidian vault that every agent reads before writing code. Past decisions are also linked directly to the code they touched, so no one goes down the same dead end twice. Still building it out but I would love to hear any thoughts/feedback
More ai this month
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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.
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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, April 2025
the whole month →- IB
Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
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https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
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