Orchestrate multiple AI agents in parallel with automated context management, task dispatch, and coordination. Supports Claude, OpenAI, and Gemini. Works with your existing tools.
Early Access • Limited Beta Spots
Managing six terminal windows across multiple AI sessions means copy-pasting context between them and losing track of which agent is doing what. Add painfully long scrolling through terminal output in long-running sessions, and you spend more time managing windows than building features.
Your AI makes some progress, but you're stuck babysitting one session at a time. Your current AI assistant app offers no parallelization features. Important details are "stored" in long running conversations.
Progress stalls out randomly and then needs continuous prodding by a human reviewer. You repeat yourself over and over, hoping for the AI to come to its senses.
Prompter Hawk organizes project context and dispatches tasks to make parallel AI agent workstreams easy to manage.
Name your project. Prompter Hawk agents share a single workspace per mission.
python mission_control.py mission create evolution-simulator
Use vanilla backend models or specialize them to your needs with our easy-to-use agent prompts. This form of agent context persists between restarts, so you never have to worry about repeating yourself.
Create tasks or let the Team Captain create them for you. Agents automatically pick up available work and start in parallel. No manual coordination needed.
Agents work in parallel on shared workspace. Tasks complete simultaneously. No branch merges, no coordination overhead.
Run 3-10+ specialized AI agents (Claude, OpenAI, Gemini) simultaneously in one unified window. Every agent, task, and result tracked in real-time. No more juggling terminal sessions or losing track of who's doing what.
AI agent that monitors your mission, creates tasks, assigns work to idle agents, and keeps your squad productive automatically. You approve tentative tasks - captain handles the coordination.
Automatic validation for every task with context-aware retry on failure. Track results across attempts so nothing gets lost. One-click task restart - no copy-pasting or hunting down prompts.
Configure context once at mission, agent, or task level - it travels automatically. Agents maintain persistent memory with progress logs, learn from past failures, and build reusable documentation. Zero repetition, zero copy-paste.
Agents request human testing when needed. Validation requests queue up so you approve on your schedule, not theirs. Quality gates without interruption - test features when you're ready.
Choose Claude, OpenAI, or Gemini per agent. Mix providers in one mission to leverage each AI's strengths. Not locked into one provider - use the right tool for each task.
Join the waitlist to be notified when we launch.
Perfect for trying orchestration
For developers who ship daily
For teams shipping together
Be among the first to experience parallel AI orchestration with Claude, OpenAI, and Gemini.