21-lesson course teaching how to build generative AI applications.
Frameworks for Coding
The 60 frameworks in the runchr registry that do coding work. Write, edit, and review code.
50 of 60 tools · Metrics as of 2026-11-06
Browser automation and end-to-end testing framework for Chromium, Firefox
Agent meta-harness for Claude Code and Codex with swarms and memory
Framework that renders HTML, CSS, and animations into deterministic MP4 videos.
Compresses tool outputs, logs, files, and RAG chunks before they reach the LLM.
Open-source book on AI agent design with 109 hands-on experiment projects.
Lightweight self-hosted Python framework for building personal AI agents.
Fast 2D WebGL/WebGPU rendering library for building interactive web graphics.
Python framework for building quantitative trading and AI factor strategies.
Frontend stack for building agent-powered apps with chat and generative UI.
Open-source commerce platform and framework for building custom e-commerce apps.
Open source platform to trace, evaluate, and monitor LLM apps and agents.
Python framework for building MCP servers, clients, and interactive apps.
CLI and library for evaluating and red-teaming LLM prompts, agents, and RAGs.
Cross-platform Java game development framework for 2D and 3D games.
Library for building interactive command line prompts in Node.js.
Build agents where tool arguments and outputs are type-checked.
Open-source Python framework for building and researching multi-agent systems.
Open-source curriculum teaching MCP fundamentals with cross-language examples.
Python library that guarantees structured LLM outputs via types and schemas.
Open-source headless commerce platform with REST APIs, SDKs, and agent tooling.
Turns docs, repos, and PDFs into AI skills and RAG knowledge assets.
Build production AI agents and multi-agent workflows in Python and .NET.
Library to pretrain, finetune, and deploy 20+ LLMs from scratch.
100-line minimalist LLM framework for building agents and workflows.
Toolkit for building, testing, evaluating, and deploying LLM app flows.
Meta-harness orchestrating Claude Code, Codex, Cursor and custom agents.
Open-source runtime for colonies of parallel AI agents that do real work.
TypeScript framework for building agents with memory, tools, workflows, and MCP.
TypeScript framework for building MCP servers, apps, and agent clients.
Fine-tune LLMs from one YAML config, even on low-VRAM consumer GPUs.
Open-source Python framework for building private, offline-capable AI agents.
Open-source Python and TypeScript SDK for building production AI agents.
Self-evolving engine that turns agent experience into auditable Genes
TypeScript harness framework for building autonomous agents with sandboxes
Python framework for building autonomous and traditional AI agents.
TypeScript framework for building agentic apps with shared actions and UI.
Self-hosted TypeScript runtime for coordinating multi-agent teams.
Java framework for building distributed, production-grade, long-running agents.
Framework turning coding models into browser and desktop agents via a terminal.
Framework for training language agents with reinforcement learning.
Java framework for building multi-agent AI apps with RAG and workflows.
Open-source agent runtime with ReAct and Agent Team modes plus a terminal TUI.
Agentic framework that generates and revises editable PowerPoint decks.
Open-source framework for building and orchestrating multi-agent AI systems.
Plan-first agent framework for OpenCode that enforces your coding patterns.
JVM agent framework for building LLM agents in Kotlin and Java with Spring.
Durable Work layer keeping one task moving across Codex, Claude, and other
Ruby framework for building AI agents with tools, MCP, and 23 providers.
Python framework for building multi-agent LLM applications with tools and RAG.