Stars
Type-safe combinatorial CLI parser for TypeScript
PgQue – Zero-bloat Postgres queue. One SQL file to install, pg_cron to tick.
Annotate and review coding agent plans and code diffs visually, share with your team, send feedback to agents with one click.
Lock, Stock, and Two Smoking MicroVMs. Create and manage the lifecycle of MicroVMs backed by containerd.
Orchestrate sandboxed coding agents in TypeScript with sandcastle.run()
An open source template for building cloud agents.
A thread pool for JavaScript with Go-style concurrency primitives. Works on Node.js and Bun.
from vibe coding to agentic engineering - practice makes claude perfect
Use Preact Models + Signals from a server as if they lived on the client.
The first open-source harness builder for AI coding. Make AI coding deterministic and repeatable.
Declarative GitHub repo configuration using the gh CLI
High-performance, multi-protocol mock server. HTTP, WebSocket, gRPC, MQTT, SSE, GraphQL, SOAP in one binary.
Workflow SDK: Build durable, reliable, and observable apps and AI Agents in TypeScript
Find newer versions of package dependencies than what your package.json allows
nono - a capability-based, multiplexing sandbox tool, built for developers - lift'n'shift seamless path to prod. Run agents securely without needing any additional infra, zero setup, zero latency.
EmDash is a full-stack TypeScript CMS based on Astro; the spiritual successor to WordPress
The repo is finally unlocked. enjoy the party! The fastest repo in history to surpass 100K stars ⭐. Join Discord: https://discord.gg/5TUQKqFWd Built in Rust using oh-my-codex.
A manifest of JS modules and their more modern/active replacements
Light, fluffy, and always free - AWS Local Emulator
Low-level unprivileged sandboxing tool used by Flatpak and similar projects
Property-based testing for web UIs, autonomously exploring and validating correctness properties, finding harder bugs earlier
AI Agent Builder and Runtime by Docker Engineering
Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level
mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local