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Neuro is an AOT-compiled programming language for AI workloads, built on LLVM and positioned around native performance, tensor work, and future MLIR/Enzyme/GPU support.

A technical blog post showing a tiny diffusion transformer running on an RP2350 microcontroller to generate 128×128 face images, with details on model design, quantization, and on-device inference.

A Lean 4 repository containing a machine-checked proof of Fermat’s Last Theorem, with build verification details and browsable HTML documentation for the proof structure.

A CLI tool that exposes a local MCP server through a public URL with one command. It supports anonymous ephemeral tunnels, OAuth 2.1 by default, and a self-hosted relay option.

A portable agent skill for rewriting legalese and verbose AI text into plain English. The repo includes features, installation steps, and support notes for tools like Claude Code, Gemini CLI, Antigravity, and Codex CLI.

TokenGO is a self-operated inference API for open-weight LLMs and video models. It offers OpenAI-compatible access, model routing, enterprise uptime claims, and a set of priced models including GLM, DeepSeek, Kimi, and MiniMax.

Neoswarm is an open-source terminal workspace for controlling AI agents, with a plugin-based interface and typed TypeScript plugin API.

JarvisCore is a Python framework for building distributed multi-agent systems with peer-to-peer discovery, crash recovery, zero-trust credential handling, shared memory, and built-in observability.

A visual timeline of major AI interfaces and interaction patterns, from Siri and Google Now to ChatGPT, Claude, and emerging agent tools.

A source-level reconstruction of the WON-era Half-Life launcher, build 1792, with build instructions, supported-version notes, fixes, and a bundled WON server emulator for local testing.

A research post from Telem AI measuring cold-start latency across nine web-search APIs, with cache behavior, tail latency, and agent-query comparisons.

A research page comparing 153 autonomous runs across 18 frontier models on the nanoGPT optimizer speedrun, with rankings, trajectories, token/compute stats, and equal-budget comparisons.

A small Python CLI that hooks into Claude Code to gradually increase target-language usage during chat sessions, with monitoring, ramp policies, help modes, and a pause/kill switch.

Experimental observability tooling for Go services that turns vulnerability scanning into live metrics. It combines govulncheck, Prometheus, and OpenTelemetry to show when vulnerable code is actually executing in running services.

A small skill that teaches coding agents to explain software with compact visuals like diagrams, trees, diffs, pseudocode, and HTML mockups instead of long prose.

Open-source auditing tool for AI agents that checks whether an agent is doing the job it is supposed to do. The repo shows a guided CLI, plugin-based workflows for Claude Code and Codex, and output in JSON, Markdown, and terminal scorecards.

Preseason tracks which developer tools AI models recommend for a fixed panel of vibe-coding prompts, and publishes rankings across categories like auth, databases, queues, hosting, analytics, and LLM observability.

Local-first coding agent workbench that runs agents in secretless microVMs, with support for multiple providers, parallel sessions, and shared repository workflows.

An architecture case study showing how a Slack-like app is built in pure Elixir with Jido agents, messaging, chat bridges, and Hologram UI.

Terminal-native attention router for parallel Claude Code sessions. It shows session status in the terminal, highlights the one that needs help, and provides quick jump shortcuts, tmux support, and optional desktop notifications.

Aidress is a coordination layer for autonomous AI agents with a live API, Python SDK, CLI, and MCP server for verifying, matching, registering, and reviewing agents.

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.

A GitHub repo section documenting a benchmark for Vestige, a local-first Rust MCP memory layer for multi-agent coding fleets. The page explains the benchmark setup, what is being measured, how to reproduce the main claim, and where to find transcripts, evidence, and harness code.

A macOS Model Context Protocol server that gives AI agents local voice output and persona-based speaking styles.