Newly Accepted

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 self-hosted Docker Compose stack for running local AI services including Ollama, LiteLLM, Whisper, Kokoro, embeddings, and an MCP Gateway.

A self-hosted TypeScript harness for building provider-neutral LLM agent systems inside an application or platform, with typed agent and workflow runtime, tool support, state, tracing, and example workspaces.

Herd is a lightweight desktop IDE for coordinating multiple AI coding agents at once. It supports parallel tasks, real-time status monitoring, and works with tools like Claude Code and Codex on Windows, macOS, and Linux.

A local-first, file-based context and memory system for AI coding assistants. It’s designed to persist decisions, tasks, and learnings across sessions so tools can rehydrate project context instead of starting from scratch.

Patchwork is a Rust CLI for AST-native code refactoring without LLMs. It can find, replace, delete, and insert code by structure instead of regex, with support for Java, Python, JavaScript, TypeScript, and TSX.

Chrome extension that exports ChatGPT conversations to PDF, Word, Google Docs, or Notion, with partial exports, formatting controls, and local processing in the browser.

Open-source agentic mesh for governing AI agents across enterprise systems, with identity, policy enforcement, audit trails, observability, and Kubernetes-native deployment.

Open-source Rust coding agent with LLM-native code understanding, shell safety, and support for multiple LLM providers with automatic failover.

A tool that converts any URL into markdown optimized for coding agents, with browser, CLI, API, SDK, and agent integration support.

Open-source themed design systems for shadcn/ui, with 29 style variants and one-command installs through a shadcn registry.

An embeddable AI agent library written in C with tool calling, memory, sessions, voice, streaming, structured output, and support for both cloud and local models.

A web app that takes an uploaded track or URL and transforms it into a Panama-style remix using AI-driven stem separation, harmonic mapping, and audio rendering.

An open-source Llama2 inference engine written in x86 real-mode assembly that fits in 1277 bytes and can boot directly from disk before any OS loads.

GrimmBot is an open-source autonomous AI agent that runs in a sandboxed Docker container, with persistent memory, task scheduling, browser control, and the ability to create custom tools over time.

A Microsoft Word task pane add-in that embeds a Pi Agent-powered assistant for M365 Word, with production and local sideloading manifests plus build and test instructions.

Open-source AI infrastructure project focused on GPU memory management and serving, with a Python control plane, C++ data plane, and optional CUDA kernels.

An open-source CLI for testing LLM prompts across consistency, latency, cost, and behavior, with HTML reports and support for OpenAI and Anthropic.

Vennio is an API for scheduling and booking infrastructure. It lets developers and AI agents check real availability, propose times, create bookings, handle calendar integrations, send confirmations, collect payments, and sync to CRMs.

An open agent-identity protocol with a shipped reference implementation, TypeScript SDK, conformance test vectors, and protocol docs for identity, discovery, payments, and audit flows.

Runtime governance and containment for AI agents. Faramesh sits between an agent and its tools to enforce policy checks, approval steps, credential isolation, and tamper-evident audit logs before risky actions execute.

A Claude Code plugin that learns from user corrections and successful runs, then turns them into reusable rules and playbooks stored locally.

Google Developers Blog post about integrating DFlash, a diffusion-style speculative decoding framework, into the vLLM TPU ecosystem to improve LLM serving speed on TPU v5p.

A GitHub repo for evaluating agentic AI pipeline systems, with guidance for defining metrics, building eval cases, running repeatable tests, and tracking regressions.