llm

A walkthrough for building and deploying an AI agent on Truuze with the AaaS dashboard, including setup, testing, connector configuration, and the platform’s escrow-based transaction flow.

UltraCompress is a Python-based compression tool for large language models. The repo describes lossless 5-bit transformer compression, verification via SHA-256, a CLI on PyPI, and published model packs on Hugging Face.

Scalattice is an inference API and hosting platform that lets developers point the OpenAI SDK at its OpenAI-compatible endpoint with minimal code changes. The page includes Python and curl examples, model IDs, pricing references, and basic troubleshooting.

An open-sourced pipeline that uses Gemini, GoPro footage, Garmin .fit telemetry, Strava segments, and manual labels to automatically build cycling highlight reels.

Reference implementation for using Linux Pressure Stall Information to trim an LLM KV cache under memory pressure. The repo includes requirements, basic usage commands, a simulator, a llama.cpp runner, and benchmark scripts with example results.

Google Research article describing Science One Framework, an autonomous research prototype focused on verifiable AI-generated research through evidence chains and claim verification.

A lightweight TypeScript resilience layer for LLM calls with retries, timeouts, caching, circuit breaking, typed structured output, and usage tracking across many provider clients.

Hosted server and open-source repo for playing multiplayer games with Claude Code in the CLI, starting with chess and comedy battle modes.

Lucid is a browser-based tool for inspecting what a language model is representing before it answers, using Anthropic’s Jacobian lens. It supports small open models, lets users type prompts, view concepts across layers, and export shareable session slices.

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.

An agentic LLM-based coding tool that analyzes symbol names in source code, measures name ambiguity, and proposes clearer replacements with a human-in-the-loop review flow.

Sif 1.0 is a developer tool that uses an LLM for planning while handling code changes, validation, promotion, and recovery through deterministic execution. The repo includes install scripts, a quick demo, and detailed README guidance for trying the system locally.

Kuna is an experimental, agent-first decompiler that uses LLM-driven autonomous refinement to improve decompilation results, with the page discussing its goals, approach, and benchmark performance against tools like IDA Pro, Ghidra, and angr.

Lagotto Meter is a beta web tool that checks how an AI agent perceives a website versus what the site claims about itself. It positions itself as a semantic truth/readability analyzer with a reproducible analysis method and public tools.

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 DeepSeek Harness plugin that uses an LLM to verify and rank candidate outputs with select, compare, track, and rollout tools.

Vomit is a Go-based CLI that converts Claude output into readable English by sending it through a separate local LLM. It supports install/setup commands, a scrub mode for Claude hooks, and sidecar commands for listing and tailing sessions.