GIT_FEED

wevm/incur

CLI framework for agents and humans

View on GitHub

What it does

Incur is a toolkit for building command-line tools that work equally well for human users and AI agents, with built-in features to help AI systems discover and use your tool efficiently. It's designed so that when an AI agent runs your command-line tool, it wastes far fewer resources understanding what the tool does and processing its output — up to three times less than alternative approaches.

Why it matters

As AI agents become a real user segment alongside humans, builders need to ship tools that serve both audiences without doubling their engineering effort — Incur bets that the interface layer between agents and software is a critical new surface to own. For founders and product teams, this signals a growing market around 'agent-ready' infrastructure, where the ability to efficiently expose your product's functionality to AI systems could become a meaningful competitive advantage.

43Hot

Gaining traction — heating up

Stars
380
Forks
12
Contributors
8
Language
TypeScript
Downloads (7d)
22.3k

npm/incur

Score updated Mar 14, 2026

Related projects

70Breakout

The Supabase CLI is a command-line tool that lets developers manage their Supabase projects — an open-source alternative to Google's Firebase backend platform — directly from their computer's terminal. It handles everything from setting up a local development environment and managing database changes, to deploying serverless functions and automatically generating code types from your database structure.

// why it matters As more startups look to avoid vendor lock-in with proprietary backends like Firebase, Supabase has emerged as a serious open-source contender, and this CLI is the primary tool that makes that workflow practical at scale. With nearly 1,800 stars and 162 contributors, it signals strong developer adoption — meaning teams building on Supabase have a mature, community-backed toolchain that can support everything from side projects to production applications.

Go1.8k stars391 forks162 contrib

Homebrew Core is the central library of software packages for Homebrew, the most popular free tool for installing software on Mac and Linux computers. It contains thousands of pre-built recipes that let developers quickly install common software tools with a single command instead of manually downloading and configuring them.

// why it matters With over 15,000 stars and 15,000 contributors, Homebrew is effectively the default way millions of developers set up their machines, making it a critical distribution channel for developer-facing software. If you're building a tool that developers need to install, getting it listed here dramatically lowers the barrier to adoption and signals legitimacy to a technical audience.

Ruby15.2k stars13.5k forks15031 contrib

Cognetivy gives AI coding assistants a structured memory and process system, storing their work — including what steps were taken, what decisions were made, and what was produced — in an organized folder on your computer. Instead of losing important context when an AI coding session ends, everything is saved as traceable, repeatable workflows that you can review, rerun, and compare.

// why it matters As AI coding agents become central to software development, the ability to audit, repeat, and improve what those agents do is quickly becoming a competitive advantage — especially for teams that need accountability or consistency. Cognetivy is positioning itself as foundational infrastructure for this shift, similar to how version control became non-negotiable once teams grew beyond solo developers.

TypeScript585 stars57 forks3 contrib

LLVM is the foundational technology that turns code written by developers into programs that computers can actually run, and it's used to build compilers for languages like C, C++, and many others. Think of it as the invisible translation engine that sits behind many of the world's most popular programming languages and development tools.

// why it matters Nearly every major tech company — Apple, Google, Meta, and more — relies on LLVM to power their software development pipelines, meaning it underpins the tools that build most modern apps and systems. For builders, understanding LLVM matters because it's the infrastructure behind emerging programming languages and performance-critical software, making it a key leverage point for teams building developer tools, new languages, or platform technologies.

LLVM37.6k stars16.7k forks8768 contrib
// SUBSCRIBE

The repos that moved this week, why they matter, and what to watch next. One email. No noise.