SwarmWright – Multi-Agent AI Orchestration

Teams building complex AI pipelines waste time wrangling scattered markdown files and Python scripts. SwarmWright structures autonomous AI agents in markdown with enforced topology rules (who can call whom) defined in JSON. Target users are AI engineers building multi-step workflows and LLM applications.

Multi-agent orchestration is genuinely hot right now — OpenAI's Assistants API, LangGraph, and the broader push toward agentic workflows have made "how do you coordinate multiple LLMs" a real engineering problem teams are hitting weekly, not theoretically. The closest incumbent is LangGraph, which already handles graph-based agent topology with Python-native tooling and has significant mindshare among the exact target audience. The $1k–5k/mo revenue band is plausible only if this lands as a team tool with seat-based pricing, because individual AI engineers won't pay much for what they currently solve with a few Python files and a whiteboard. The biggest risk is that the markdown-plus-JSON abstraction is a solution to a formatting preference, not a hard technical problem — LangGraph and CrewAI are already iterable enough that switching costs are low, and most engineers will tolerate messier code over adopting a new DSL.