OneShots

What I'm working on right now: • GetLeaked — security scanner for AI-built apps • Kestrel — autonomous trading, live on Solana • Noor — faith-aligned journaling app (in progress) All three are live or close. More to come. @twoshotsai → twoshotsai.com

Llama.cpp aims for LLM and VLM inference with minimal setup on a wide range of hardware. Running inference locally trades convenience for control, and that tradeoff looks different on every machine. github.com/ggml-org/llama.cp…

This repo lets you access the latest releases locally or in the cloud with complete privacy. What would you build differently if every model call stayed on your own machine? github.com/ollama/ollama

Antidraw is a design canvas where coding agents turn a description into a Figma-like frame that is real React code. A prototype that can't hand real code to a developer is just a nicer mockup. github.com/AntidrawHQ/antidr…

Delaware has a plan letting AI agents run entire businesses. Who answers when an AI agent, not a person, makes the call? arstechnica.com/tech-policy/…

Ferry is a two-panel Mac file manager with folders side by side and the same view for servers and archives. If you compare or move files across folders all day, pick a tool built around split panels instead of forcing it into a cramped window. ferry.indus3.org/

This repo makes an AI agent write the full plan before any code, then wait for your approval. This repo also blocks launch while any of 17 checks stays red. Approval gates like that are easy to skip when the demo already works. github.com/bewithkhan/bansat

Shipvo says it lets you build once, publish for people and AI agents. It measures 100% actionable parity on Android and iOS across the 13-screen purchase flows. If you build for agents, prove simulator-to-device parity instead of assuming it. github.com/shipvo/shipvo

echoChain measures how an answer changes when models rewrite it in a loop. Worth running on anything you expect an agent to paraphrase more than once, since small shifts compound fast. github.com/smusali/echoChain

This repo parses 25 languages with tree-sitter grammars and diffs them structurally. If your diff tool still highlights whole lines instead of the exact token that changed, you are reviewing noise instead of real changes. github.com/ivankovic/omnidif…

This repo describes smolagents as a library for running powerful agents in a few lines of code. Less abstraction forces you to understand what your agent is actually doing instead of trusting a framework blindly. github.com/huggingface/smola…

This repo is described as a plain C/C++ implementation with no dependencies. Building without dependencies costs you setup time but buys you control, worth the trade for serious builders. github.com/ggml-org/llama.cp…

Governor runs as a small Node proxy that sits between your agents and Anthropic, OpenAI or xAI. It sees the tool calls inside each model reply and blocks the ones a rule denies while holding the ones a rule says need a person. bsvkey-governor-demo.fly.dev…

Ollama can connect to your existing agents or applications. A model layer that plugs into your existing agent setup beats one that locks you into a single tool. github.com/ollama/ollama

Ollama's Python library installs with pip and lets you import chat models straight into your code. Wiring a model straight into your own code beats routing everything through a chat UI, what's your first integration? github.com/ollama/ollama

Shellfirm intercepts dangerous shell commands before the damage is done. A real guardrail has to sit in the execution path an agent runs, not just your own habits. github.com/kaplanelad/shellf…

Ollama can turn into a personal AI assistant across WhatsApp, Telegram, Slack, and Discord through OpenClaw. Which channel would you actually want your agent living in? github.com/ollama/ollama

Ollama ships an official Docker image on Docker Hub. Running your model layer in a container you control beats trusting someone else's hosted endpoint. github.com/ollama/ollama

Ollama has a REST API for running and managing models. What's the first integration you'd wire in if you swapped your model layer? github.com/ollama/ollama

It also plugs into tools you already use, like Claude Code, Codex, and Copilot. Picking a model matters less than picking one that fits your existing tools. github.com/ollama/ollama

Aroha mandates give orchestrators enforceable control over every sub-agent they delegate to. No agent can exceed the scope it was granted. That's the kind of boundary agent handoffs need before scope quietly turns into trust by default. github.com/ArohaLabs/aroha-p…