Launchonomy

Launchonomy deploys a team of specialised AI agents to build and operate businesses autonomously. Each agent handles a different function — strategy, marketing, finance, growth — and they coordinate through a shared mission loop.

How it works

A C-Suite orchestration model drives the system. Executive agents (CEO, CRO, CTO, CFO) define strategy, then operational agents execute workflows in sequence: scanning markets, deploying products, running campaigns, tracking analytics, managing finances. Leadership reviews results, adjusts strategy, and the cycle repeats.

A mission-scoped RAG memory system lets agents learn from past decisions and retrieve relevant context using vector search, so knowledge compounds across iterations.

Mission workspaces

Each mission gets its own workspace with automatic file storage, asset tracking, and manifest management. Missions are resumable — pause an operation and pick it back up later with full context intact.

Key features

• Persistent vector memory — ChromaDB-backed storage scoped per mission, surviving restarts
• Financial guardrails — real-world cost tracking with compliance monitoring and budget limits
• Comprehensive logging — strategic decisions, financial metrics, and token usage all recorded
• CLI tooling — workspace management and status monitoring from the terminal

Stack

Python 3.8+, Microsoft AutoGen for multi-agent orchestration, OpenAI APIs, and ChromaDB for vector storage.

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