Open Source Developer Tools
Discover 447 open source Developer Tools repositories from GitHub, each with an analysis of what it does, key features, use cases and alternatives. Developer Tools projects here are most often combined with Python, AI Agents and CLI. Last updated October 4, 2026.
447 repositories · updated October 4, 2026
poml: Structure and Render Prompts for Language Models
POML is a markup language and toolkit for building structured, reusable prompts for large language models. It combines templating, data components, styling, and development tools for teams managing prompts in code.
superjson: Preserve JavaScript Types in JSON Data
Superjson encodes JavaScript values that plain JSON cannot represent and restores them during parsing. It is useful for TypeScript and JavaScript apps that need to move values such as Dates, Maps, Sets, or BigInts across JSON-based boundaries.
zed: A High-Performance Multiplayer Code Editor
Zed is a Rust-based code editor designed for fast, responsive editing and multiplayer collaboration. It suits developers who want a desktop editor for individual work or shared coding sessions across macOS, Linux, and Windows.
wake: Test and Analyze Solidity Smart Contracts
Wake is a Python-based framework for testing, fuzzing, and static analysis of Solidity smart contracts. It suits Solidity developers and security teams that want automated checks, custom detectors, and IDE support in one tool.
pnpm: Manage JavaScript Dependencies Efficiently
pnpm is a Node.js package manager that links packages from shared content-addressable storage to reduce duplicated files and speed up installs. It suits JavaScript projects, especially monorepos, that need deterministic dependency management.
pkgx: Run Tools and Specific Versions on Demand
pkgx is a standalone command-line tool that runs packaged software and specific versions without installing them into your wider system. It suits developers who want convenient, repeatable access to project tools across local machines, scripts, and CI.
lagent: Build LLM-Powered Agents in Python
Lagent is a Python framework for composing LLM agents, tools, memory, and multi-agent workflows. It suits developers building tool-using or collaborative agent applications who want synchronous and asynchronous interfaces.
mcp: Connect AI Tools to AWS Services
awslabs/mcp is a collection of Python MCP servers that connect AI clients to AWS documentation and services. It suits developers who want AWS-specific context and workflows in MCP-compatible assistants, with permissions and setup varying by server.
lmql: Program LLMs with Python-Like Constraints
LMQL combines Python-style control flow with language-model queries and constraints on generated text. It suits developers building structured, model-driven workflows who need more control than prompt templates provide.
awesome-copilot: Customize GitHub Copilot with Community Resources
A community collection of custom agents, instructions, skills, hooks, workflows, and plugins for GitHub Copilot. Browse and search resources on the project website, or install plugins through the Copilot CLI.
Figma-Context-MCP: Give Coding Agents Access to Figma Designs
Figma-Context-MCP is an MCP server that turns Figma file data into concise layout and styling context for AI coding agents. It is intended for developers who want agents such as Cursor to implement designs using design metadata rather than screenshots alone.
sidequest: Run Durable Background Jobs Without Redis
Sidequest is a Node.js job processor that stores durable background jobs in PostgreSQL, MySQL, SQLite, or MongoDB. It suits teams that want distributed workers and job monitoring without adding Redis to their infrastructure.