
GitHub
BramhaShiv AI - Smart multi-provider router for OpenCode
What it does
Classifies each coding task with Gemini Flash and routes it to the best-fit model from a 19-model catalog spanning OpenAI (GPT-5.x via ChatGPT OAuth), Google (Gemini), Anthropic (Claude), HuggingFace, and OpenRouter. ✨ What it does 🎯 You type a coding task. 🧮 Gemini Flash reads it and emits six trait weights. 📊 Each catalog model is scored 🚀 The top-ranked model runs your task 👀 OpenCode's own model indicator shows the final choice every turn.
Does the same job
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We built a model router that plugs into coding agents (e.g. Claude Code, Codex, Cursor, etc.) and intelligently sends requests to the best model to serve them. Here's a quick demo of running it locally: https://www.youtube.com/watch?v=isKhAyivtfM. At Weave, we write most of our code with AI, and it's been getting more expensive. This came to a head when Opus 4.7 was released and, thanks to its tokenizer changes, our costs shot up. We knew we didn't need Opus for everything but we didn't want to lose out on the intelligence for the cases where you really need it. So we decided…
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I built Gemini Cursor, an open-source multimodal AI cursor that guides users through tasks on their desktop by pointing and speaking. It leverages Gemini 2.0 Flash and Google's live multimodal API to analyze what's on screen and provide real-time assistance. In this demo, my friend tries to add a payment method to Amazon, and the AI cursor walks them through the entire process with visual cues and spoken instructions. I've also used it to interpret diagrams from research papers—curious to see what other use cases people find this useful for! Demo:…
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I recently experimented using Gemini 2 Flash and Gemini 2 Flash Thinking with unrestricted code execution in a local sandbox and open sourced the results: https://github.com/gradion-ai/freeact. Here's an example that uses Gemini 2 Flash Thinking as agent that acts via code, executed in a sandbox based on IPython and Docker: https://gist.github.com/krasserm/dcdae47f85ee9922e3284953d07... Gemini's code execution environment is restricted to selected Python libraries like NumPy or SymPy and prevents the model from installing new packages, besides other…
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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…
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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…
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Dev tools · May 2026 · github.com