Shannon – Local desktop app to orchestrate Claude Code agent teams
Visual orchestration for Claude agents, but limited to single model ecosystem.
A personal orchestration tool for Claude Code agents
Multi-agent Claude orchestration with DAG workflows, but Cursor already owns this UI.
Engineers running multi-agent AI coding tasks; teams needing Claude Code coordination beyond single CLI sessions.
Cursor · Continue IDE · LangGraph Agent Studio
Shannon solves this:
- Create customized agents with different models (Opus/Sonnet/Haiku) and system prompts - Build team workflows with a drag-and-drop DAG editor (parallel, sequential, or fully custom) - Describe your goal in natural language → AI analyzes your codebase and proposes a task plan with dependencies - Watch everything in real-time: task graph, agent chat, code diffs
There's also a Monaco-based prompt editor with semantic syntax highlighting for XML tags (the kind Claude responds well to), autocomplete, and an "AI Improve" button that rewrites your system prompt in one click.
Tech: Go backend, React frontend, Wails v2 for the desktop shell, SQLite for storage. It shells out to the Claude Code CLI under the hood — not calling the API directly — so you get all of Claude Code's built-in tools (file editing, bash, etc.)
Named after Claude Shannon, as you might guess.
Limitations: requires Claude Code CLI installed and authenticated. Local-only desktop app. Hobby project — expect rough edges. Workspace copies can eat disk space on large repos.
Linux and Windows builds available. MIT licensed.
Visual orchestration for Claude agents, but limited to single model ecosystem.
Visual AI workflow builder, but Flowise and LangFlow already dominate this crowded category.
Kanban UI for headless Claude Code—three-phase pipeline with cost tracking and autoclicker mode.
Multi-agent SDLC plugin for Claude Code, but CrewAI does this already.
Voice-controlled agent orchestration in a sea of similar multi-agent tools.
Fire-and-forget Claude orchestration, but only 4 commits and zero stars so far.