#ollama

Project VoidRift: Local-first Agentic Development Framework

Your model, many harnesses, many benchmarks.

Single-binary pure-Go photo organizer: groups photos into events by capture time, classifies each by theme via Ollama vision, and copies them into a dated folder tree. Originals untouched.

Verifiable coding-agent harness in Go: external test gates, typed outcomes, sandboxed execution, multi-model providers, and signed proof bundles.

AI Agent SDK designed for Go developers

Run AI at CLI

Loom is a high-performance, graph-based AI workflow engine for Go. It allows you to build complex agentic systems by defining multi-step workflows as directed graphs, seamlessly connecting them to any large language model, and persisting execution state for long-running or interrupted tasks.

Hey LLM, you okay? — pyramid-ordered LLM testing CLI for CI/CD. One YAML for every layer, LLM-as-a-judge gates, and A/B triage that tells prompt regressions from model drift.

A modern web interface for [Ollama](https://ollama.com/) — chat with your local models, privately. Clean design, essential chat features, and no data leaving your machine.

Provider-agnostic Go AI framework for building RAG, agents, and AI-powered applications. Swap LLM providers without code changes — supports Ollama, OpenAI, and more.

Harness layer of the Nexus funnel/harness split — Go library for one-turn model deliberation with provider abstraction

Go client for Ollama and Open WebUI — authenticated streaming API, real-time token callbacks, code block extraction

Provides building blocks to integrate with AI / LLM providers and built-in, common, providers.