llm

An open-source, Kubernetes-shaped control loop for agent-driven work. It watches external systems, makes one LLM-driven move per beat, and supports human-in-the-loop approvals through a file-based contract.

Rauno is a multi-AI chat interface that sends one prompt to ChatGPT, Gemini, and Claude and presents them as a roundtable discussion. It’s aimed at comparing model responses and using cross-verification to help users judge which answer is right.

An open-source project for making AI research agents legible, auditable, and traceable through behavioral code and event logs.

A pull request adding AMD GPU support to tiny-vLLM through ROCm/HIP while keeping the existing CUDA build path unchanged. The snapshot describes the compatibility header, CMake option, architecture selection, and validation on multiple AMD GPUs.

An experimental programming language and compiler designed for LLM-written code, with a Python-based toolchain that compiles to native macOS binaries. The repo also includes a full NES emulator written in Laze and usage examples for both the compiler and emulator.

A small post-trained Qwen2.5-0.5B-Instruct model tuned to write in Gen Z slang, with training and inference notebooks plus dataset files in the repo.

Windows desktop chat client for OpenRouter with streaming completions, model browsing, multi-session history, local storage, and PySide6 UI.

An open-source desktop client for editing LLM context with a separate AI model, context maps, compression tools, and revision rollback.

An Apple Silicon–optimized inference build of Bonsai 1.7B with custom Metal kernels, benchmark results, quick-start instructions, and a bundled OpenAI-compatible server.

A Python tool manager for AI agents that uses an LLM-tools.txt registry to install, pin, describe, and execute tools with one predictable contract.

A GitHub repository for an engine-agnostic KV cache fragment system for on-device LLM inference, with Android and Go components, adapters for llama.cpp/MLC-LLM/ONNX Runtime, and benchmark and monitoring code.

A local-first desktop environment for dispatching coding tasks to any model and any agent, with diff review, terminal streaming, task history, and per-project configuration.

An open-source ID library that generates human-readable, token-efficient IDs for AI agents and LLM workflows, with parsing, validation, deterministic IDs, and alias mapping utilities.

An experimental autonomous bare-metal OS agent that uses an LLM, VirtualBox, and screenshot inspection to iterate on low-level code, boot a VM, and refine behavior from execution results.

A TypeScript markdown parser built for incremental streaming, aimed at parsing LLM markdown output on the server or client. It exposes a typed AST, supports CommonMark and GFM tables, and includes examples for full and streaming parsing.

Apple Machine Learning Research paper proposing LaDiR, a reasoning framework that combines a VAE-based latent space with latent diffusion to improve LLM text reasoning and iterative refinement.

A write-up of a custom French-learning system built around spaced repetition, grammar tracking, and a voice practice app. It explains the problem, the workflow, and the model/API stack used to keep costs low.

arXiv paper on a self-speculative decoding framework for speeding up reasoning LLM inference on edge hardware, with hardware co-design and reported speedups.

A research preprint describing ADHD, a parallel divergent ideation method for LLM coding agents that isolates branches, uses cognitive frames, and then prunes with a separate critic pass.

A free browser arcade game where you play as an LLM, dodging prompt injections, hallucinations, rate limits, and deprecation while gobbling tokens.

An open-source simulator that studies how GPT inference behaves under space radiation and cosmic-ray fault conditions, with CLI runs, comparisons, and self-contained HTML reports.

A GitHub research project documenting a long-form, multi-model analysis of LLM behavior across Claude, Gemini, ChatGPT, and Grok. The repo includes an executive summary, screenplay, technical white paper, and archive of logs and chat records.

LEVI is a harness-first evolutionary framework for code and prompt optimization. It focuses on reducing LLM cost with diversity-preserving search, role-aware model routing, and a proxy benchmark, and presents comparative results against several existing systems.

A short policy file for the ripgrep project that explains how contributors may use AI tools while contributing, and sets rules for issues, pull requests, and comments.