Machinecraft builds 36-agent AI system for thirty thousand dollars
Saving Three Generations of Factory Knowledge
Machinecraft, an Indian manufacturer of thermoforming machinery led by Rushabh Doshi, faced a classic industrial bottleneck. Decades of specialized engineering knowledge existed only in the minds of three family members. When employees left, critical history vanished. Instead of writing static documentation, Doshi built Ira, a digital brain designed to hold the company's collective memory.
Structuring the Pantheon of Specialists
Instead of relying on a single, complex system prompt, Ira coordinates 36 distinct, single-purpose agents. This modular architecture prevents prompt degradation. A primary coordinator agent, Athena, calls on specialized agents like Plutus for pricing, Hephaestus for technical specifications, and Vera for fact-checking. The agents hold simulated board meetings, debating conflicting data points to output a single, accurate response.
Layered Memory and Nightly Dream Cycles
Most language models suffer from short-term memory loss. Ira solves this through a multi-tiered memory architecture: working memory for immediate context, episodic memory for conversation history, and a "salience gate" to filter out irrelevant information. Every night, the system runs a consolidation cycle. This "dream" phase processes the day's interactions, resolves information conflicts, and writes new behavioral rules.
Embedding a Philosophical Conscience
Crucially, Ira operates under a strict "soul file" rooted in the philosophical principles of a Jain family business. This digital constitution mandates strict guidelines: agents must cross-check data, cite sources with dates, and remain transparent about ugly truths. The system functions on an "Ira drafts, human sends" workflow, ensuring humans remain the final authority.
- Brain OS
- 25%· products
- Ira
- 25%· products
- Machinecraft
- 25%· companies
- Rushabh Doshi
- 25%· people
The Factory That Dreams: 39 AI Agents, No Framework - Rushabh Doshi, Machinecraft
WatchAI Engineer // 9:58
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