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Emdash is an orchestration layer for running multiple coding agents in parallel in isolated Git worktrees
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
A proxy for minimax-m2, enabling interleaved thinking, and tool calls.
⚙️🦀 Build modular and scalable LLM Applications in Rust
Examples and use cases for building LLM-Powered apps with Rig
Quickly stash tabs locally to read later and unclutter your browser.
Simultaneous speech-to-text model
The absolute trainer to light up AI agents.
LightMem: Lightweight and Efficient Memory-Augmented Generation
Your own self-hosted infra for lightweight VM sandboxes to safely execute untrusted code. CLI, API, Python SDK. ⭐ Star it if you like it! ⭐
Open Source Alternative to NotebookLM / Perplexity, connected to external sources such as Search Engines, Slack, Linear, Jira, ClickUp, Confluence, Notion, YouTube, GitHub, Discord and more. Join o…
writeSimply is a minimal desktop app where you can write freely, no subscriptions, no clutter, just pure writing
An interface library for RL post training with environments.
The most intuitive desktop API client. Organize and execute REST, GraphQL, WebSockets, Server Sent Events, and gRPC 🦬
An Open Source implementation of Notebook LM with more flexibility and features
Keep AGENTS.md and CLAUDE.md in sync across your projects.
Gthulhu optimizes cloud-native workloads using the Linux Scheduler Extension for different application scenarios.
An open-source time-tracking tool for monitoring your productivity with privacy-first approach. Own your hustle, optimize those "grind sessions," and uncover inefficiencies. Built with Rust, Ratatu…
Netcat with automated NAT traversal, secure P2P, and advanced features for shell access, file transfer, and network proxying.
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
Chrome DevTools for coding agents
Port Kill helps you find and free ports and caches blocking your dev work.
Save data from GitHub to a SQLite database
In this repo there are some tips and a template to train your YOLO model for any kind of computer vision application