Pluggable experience orchestration
JARVIS
How can an AI desktop experience stay modular?
- Components
- Scene, voice, brain, script, feeds
- Risk boundary
- Privacy changes with the selected adapters
- Language
- TypeScript
ORIGINAL COMPARISON · PRIMARY SOURCES ATTACHED
Three AI architecture patterns, compared.
JARVIS, Trading Swarm, and Indie Metrics MCP solve different problems, but each uses an explicit boundary to make an AI system easier to inspect and replace.
THESIS
The shared design idea is controlled composition.
JARVIS controls how experience components connect. Trading Swarm controls how independent signals become consensus. Indie Metrics MCP controls which operations an assistant can perform. Their strongest common pattern is not autonomy. It is an explicit contract around autonomy.
COMPARISON MATRIX
Different problem. Different boundary.
ProjectPatternBoundaryFeedback
JARVISPluggable experience orchestrationFive replaceable contractsBriefing engine coordinates ordered experience beatsTrading SwarmAdaptive multi-signal consensusSeven specialized signal agentsWeights rise or fall within fixed boundsIndie Metrics MCPConstrained read-only tool mediationSeven named read-only toolsStructured tool results return to the assistantAdaptive multi-signal consensus
Trading Swarm
How can several imperfect agents reach one decision?
- Components
- Six technical signals plus sentiment
- Risk boundary
- Historical tests do not establish future performance
- Language
- Python
Constrained read-only tool mediation
Indie Metrics MCP
How can an assistant query sensitive business data safely?
- Components
- Revenue, customer, product, subscription, transaction, refund, forecast
- Risk boundary
- Keys and code still require careful review
- Language
- TypeScript
METHOD
DESCRIPTIVE, NOT A BENCHMARK
How this comparison was produced.
The matrix was extracted from the public README and architecture documentation for each repository on July 27, 2026. It compares documented system boundaries and does not rank code quality, adoption, security, profitability, or production readiness.