Lists (1)
Stars
Curated list of datasets and tools for post-training.
Like gmail for your coding agents. Lets various different agents communicate and coordinate with each other.
🎒 Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK.
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnot…
JS/TypeScript client library for the Galileo platform 🔭
The most advanced open-source browser fingerprinting library
Chrome DevTools for coding agents
👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration.
Developer-first error tracking and performance monitoring
Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
You want fart noises as you scroll? We've got you covered.
Mockoon is the easiest and quickest way to run mock APIs locally. No remote deployment, no account required, open source.
Self-hosted, multi-user API that drops bots into Google Meet for real-time transcripts.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!
SWE-bench: Can Language Models Resolve Real-world Github Issues?
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering
The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)
Prepare for GitHub Certification exams!
React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic last-mile 🪁
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
The TypeScript AI agent framework. ⚡ Assistants, RAG, observability. Supports any LLM: GPT-4, Claude, Gemini, Llama.
Multi-agent framework, runtime and control plane. Built for speed, privacy, and scale.