Superset

Manage multiple AI terminal agents in parallel with isolated Git worktrees

Open-source terminal app for managing multiple AI coding agents (Claude Code, Codex, Gemini, Aider) in parallel, each in an isolated workspace with its own git branch. Uses tmux for isolated terminal sessions and git worktrees so agents work independently without conflicts. Dashboard view of all active instances, auto-accept mode for background execution, and a review workflow for inspecting changes before merging. Installed via Homebrew as the cs command.

Terminal session manager and command center for AI coding agents

Productivity dashboard for managing AI agents, tasks, and workflows through a unified web and mobile interface. Centralizes monitoring, organization, and coordination of multiple AI-powered workflows so developers and teams can keep track of agent activity, task assignments, and project status in one place. Cross-platform access, categorization and prioritization tools, and progress tracking reduce the cognitive overhead of juggling multiple agent tools.

Open-source agentic development environment for parallel AI agents

Emdash is an open-source agentic development environment for orchestrating many coding agents in parallel. It runs each agent in an isolated Git worktree, presents tasks in a dashboard, auto-detects installed CLIs, works with 25+ agents including Claude Code, Codex, Cursor, Amp and Gemini, and supports MCP server connections for tool access.

AI agent dev environment with parallel git worktrees, magic git commands, and Linear integration.

Jean is an open-source desktop dev environment for AI agents from coolLabs (the team behind Coolify). It runs multiple coding agents — Claude Code, Codex, and others — in parallel inside isolated git worktrees, each with its own chat session and terminal. Magic git commands handle commits, PR descriptions, code reviews, and merge conflicts with AI assistance, while built-in Linear and GitHub integrations load issue context into every session.

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.

The Agent Development Environment for running parallel coding agents in isolated worktrees

Orca is an open-source Agent Development Environment (ADE) for running 25+ coding agents in parallel, each in an isolated git worktree. Supports Claude Code, Codex, Gemini, OpenCode, Amp, Goose, Grok, and Aider with BYOK subscriptions. Includes a WebGL terminal with infinite splits, built-in git tracking, hot-swap accounts, and an iOS/Android companion app for monitoring agent work on the move.

Fork, customize, and ship AI agents on Vercel in minutes

Open Agents is a Vercel Labs open-source template for building and deploying cloud-hosted AI agents. It provides a production-ready Next.js starter with built-in tool use, streaming responses, multi-model support, and deployment on Vercel infrastructure. Developers can fork, customize agent behavior and tools, then ship agent-backed apps in minutes with automatic scaling and edge routing.

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.