claudegpt
Claude Code planning, Codex CLI execution,one local workflow
What it does
claudegpt is an open-source Claude Code skill that connects Claude Code and OpenAI Codex CLI. Claude plans and reviews, Codex executes in a terminal, and the whole handoff stays local and inspectable.
Does the same job
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- OSOpen-source CLI coding framework using Claude2024 · github.com · ▲84

- CCCode Claude Code2025 · github.com · ▲117
In the nature of Open Source, I am releasing something I'm actively working on but is insanely simple and will likely be made anyways. It is an SDK for scripting Claude Code. It's a lightweight (155 lines) and free wrapper around claude code This is a big deal because it seems that using claude code and cursor has become largly repitive. My workflow typically goes like this: Plan out my task into a file, then have claude code implement the plan into my code. I'm actively building a product with this, but still wanted to make it OSS! Use it now with `pip install codesys`

- GCGive Claude Code control of your browser (open-source)2025 · cli-agents.click · ▲10
As I started to use Claude Code to do more random tasks I realized I could basically build any CLI tool and it would use it. So I built one that controls the browser and open-sourced it. It should work with Codex or any other CLI-based agent! I have a long term idea where the models are all local and then the tool is privacy preserving because it's easy to remove PII from text, but I'd definitely not recommend using this for anything important just yet. You'll need a Gemini key until I (or someone else) figure out how to distill a local version out of that part of the pipeline. Github link:…
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.
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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 · 27d ago · cactuscompute.com


Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com