Open Agents

High-performance code editor built in Rust

High-performance code editor built entirely in Rust by the creators of Atom and Tree-sitter. GPU-accelerated rendering and a multicore architecture deliver 10x faster startup and 75% lower memory use than Electron editors like VS Code. Native real-time collaboration that works like Google Docs, deeply integrated AI with agentic editing (Claude and more), and Tree-sitter-powered syntax highlighting. Direct-to-display rendering on macOS. Available on macOS, Linux, and Windows.

The AI-first code editor

AI-first code editor built as a VS Code fork that deeply integrates LLMs into every part of the development workflow. Features Tab autocomplete with multi-line predictions, Cmd+K inline editing, AI chat with full codebase awareness, and Agent mode for autonomous multi-file edits with terminal execution. Supports GPT-4, Claude, and more with automatic context from project files and docs. Includes privacy mode for SOC 2 compliance. The leading AI-native IDE with 100K+ paying users.

Open-source agentic development environment for parallel AI agents

Emdash is a modern content and digital asset management tool designed to help writers, content teams, and publishers organize, write, edit, and manage their content workflows in a streamlined, distraction-free environment. It replaces scattered content across documents, folders, and tools with a unified workspace where teams draft, review, collaborate, and publish written content, prioritizing the craft of writing.

Human-in-the-loop web agent you can co-pilot in real time

Magentic-UI is a Microsoft Research web agent with a human-in-the-loop interface for browsing, coding, and file tasks. It plans multi-step actions, asks for approval before executing, and lets users co-pilot by taking over the browser mid-task. Built on AutoGen, it runs a team of specialized agents for web browsing, file handling, and code execution with full action transparency and safety guardrails.

Constrained generation that guarantees valid LLM outputs every time

Guidance is Microsoft's structured generation library that enforces output constraints directly within LLM decoding. It supports JSON schemas, regex patterns, grammars, and interleaved generation-and-control flow to guarantee valid outputs from any compatible model. Works with local models via llama.cpp, Transformers, and remote APIs including OpenAI and Anthropic. Eliminates retry loops and post-processing for structured data extraction.

Free local AI code completion for VSCode

Twinny is a free, open-source AI code completion extension for VS Code that works with any OpenAI API-compatible endpoint including local models via Ollama. It provides real-time inline suggestions, a sidebar chat for code discussion, workspace embeddings for context-aware completions, and a decentralized P2P inference network. A privacy-first alternative to GitHub Copilot with zero licensing cost.