Multi-tenant fine-tuning for LLMs with Tinker-compatible API

Fast-ASDLC: 5x TTM with AI-native Agentic SDLC. Local-LLM first, Human-in-the-loop, Spec-driven. Built on DDD, Hexagonal Architecture, C4 Model & MCP. Features Meta-agents for self-improvement, Memory Bank for context persistence, and automated 100% test coverage. Everything-as-Code & Mermaid.js centric to save context window and slash token costs.

Describe images with Ollama

🚀 Unified NLP Pipelines for Language Models

Delta: LLM conversation branching

A from-scratch implementation of the language-model training pipeline in PyTorch: tokenization, pretraining, SFT, and preference-based alignment.

A Unity package for building open-source AI voice agents that run fully locally. You can use it to build intelligent non-player characters (NPCs), game interfaces, among many other applications.

J.A.R.V.I.S: An AI-powered Open Source Intelligence (OSINT) system. It orchestrates deep web scraping and local LLMs to autonomously generate comprehensive intelligence dossiers.

Playground for learning by doing

XR — the secure, self-hosted AI agent. BYOK · local-first · spend-capped · tamper-evident. by rrrtx

The Operating System for Local Intelligence. ⚙️

🐝 Create agents with Gemma 4 ✦

A lightweight CLI to orchestrate Gemini and GPT using your local files as a shared blackboard.

On device autonomous research and content writing using open-sourced LLMs and Crew AI.

RAG Intelligent Question-Answering System Based on LangChain

Local-first RAG pipeline — ChromaDB, DeepSeek-R1 via Ollama, idempotent ingestion, reactive Marimo UI. Zero cloud APIs. Fully Dockerized.

GGUF-Runner - Want to run LLMs locally, use this guide, and run with LLAMA.cpp

A minimalist terminal script that analyzes your hardware and use cases to recommend the best local AI models you can reliably run. Powered by the free Gemini 3.1 Flash Lite model, it uses your own Google API key at runtime. You can generate your key for free in under 90 seconds in Google AI Studio, and that's completely safe & costs nothing!

A terminal-based tool for building flexible AI workflows anywhere. Process documents, create pipelines, and manage context from the command line.

Experiments running offline LLMs in Python and Rust locally using Ollama and llama.cpp