The command center for coding agents - Run a team of Claude Code, OpenCode, Codex, or any other agents on your machine
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Updated
Feb 16, 2026 - TypeScript
The command center for coding agents - Run a team of Claude Code, OpenCode, Codex, or any other agents on your machine
Emdash is the Open-Source Agentic Development Environment (🧡 YC W26). Run multiple coding agents in parallel. Use any provider.
Mobile-first web UI for managing AI coding sessions (Claude Code, Codex, Aider, Gemini CLI, Amp, Pi). Self-hosted with multi-pane terminals, git integration, and session orchestration.
A toolkit that makes Claude Code better at engineering — session memory, dependency analysis, large file navigation, 18 specialist agents, and crew teams for parallel multi-branch work.
TUI for easily running parallel coding agents
Infinite Agentic Looping for Agentic Claude Code UI Generation Use-Case
Manus-style context engineering for Claude Code Agent Teams. Coordinate multiple Claude instances with shared planning files.
List of coding agent orchestrators
Orchestrate multiple AI coding sessions in parallel
Capture, store, and restore .env files across your projects with ease
6 Claude Opus 4.6 AI agents built a complete Claude Cowork plugin in 5 minutes, then 6 more agents wrote 5,298 lines of documentation in 4 minutes. An educational showcase of Agent Team orchestration, task dependency management, and parallel AI coordination.
🎨 Infinite Discovery Agent: An enhanced agentic loop system for UI/UX experimentation through parallel AI iteration. Create themed hybrid components, homepage variations, and interactions with progressive sophistication. Built with Claude Code.
Structured task management using JJ (Jujutsu). Uses empty revisions as TODO markers with [task:*] flags, forming a DAG of plannable and executable tasks.
Parallel Subagent Orchestration Engine for Claude Code implementing the IOSM methodology. Continuous dispatch scheduling, quality gates, auto-spawn protocol.
Multi-agent orchestration plugin for Claude Code. Coordinate agent teams with shared tasks, messaging, and 7 patterns including RLM (arXiv:2512.24601) for large-file analysis beyond context limits.
Speckit template with meta-spec/sub-spec parallel agent workflow and git worktree support
Production-ready boilerplate for AI agent projects using NodeBench MCP. 129 tools, AGENTS.md, quality gates, parallel agents, CI, Docker.
aiaic_agent 🧑🏭🕸️🏌️ : AI Agent # Agentic Architecture # Agent # Kaggle # ADK # Prompt # Action
🗂️ Manage tasks effectively with jjtask, leveraging JJ (Jujutsu) for structured planning and execution using DAGs and TODO markers.
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