Newly Accepted

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.

A metadata-first trust control plane for authorized security workflows, evidence retention, release trust, and business-flow proof. The repository includes role-based docs, quick-start commands, safety boundaries, and release-trust materials.

A ~1000-line C workflow runtime where an LLM can modify a DAG during execution using a restricted four-verb grammar, with every change written to an append-only audit log for replay and inspection.

Open-source agile planning and orchestration layer for AI coding agents, with bidirectional sync to Claude Code, AI-generated user stories, sprint planning, and a self-hosted CLI workflow.

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 hands-on workshop repository that walks developers through building a small GPT-style language model from scratch, including tokenization, transformer blocks, training, and text generation.

A macOS companion overlay for Claude Code that shows an animated pet/sprite based on Claude Code activity. It includes a CLI, hook integration, a daemon, and a web-based atlas validator/renderer for Codex-pet-compatible pets.

Sandboxed bash for agents with structured command output and full filesystem state capture after each run.

Lightweight AI inference engine written in Rust for embedding local LLMs in mobile and desktop apps, with bindings for Python, Flutter, and React Native.