Context: Proactive Goal-Directed Intelligence via Composable Sandboxed Programs, Declarative Wiring, and Structured Interaction
The article introduces Context, a new intelligence layer designed to enhance proactive goal-directed interactions in artificial intelligence. It replaces traditional reactive chatbots with agents that can advance tasks without waiting for user input. The architecture is built on three key mechanisms that improve efficiency and interaction quality.
- ▪Context is part of the Magarshak Architecture, focusing on proactive rather than reactive interactions.
- ▪The system utilizes write-time context assembly and composable sandboxed wisdom programs to optimize task execution.
- ▪Formal results demonstrate the advantages of proactive agents over reactive ones in multi-participant goal-oriented conversations.
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Computer Science > Artificial Intelligence arXiv:2605.23928 (cs) [Submitted on 21 Apr 2026] Title:Context: Proactive Goal-Directed Intelligence via Composable Sandboxed Programs, Declarative Wiring, and Structured Interaction Authors:Gregory Magarshak View a PDF of the paper titled Context: Proactive Goal-Directed Intelligence via Composable Sandboxed Programs, Declarative Wiring, and Structured Interaction, by Gregory Magarshak View PDF HTML (experimental) Abstract:We present Context, the intelligence layer of the Magarshak Architecture, which replaces reactive query-response chatbots with proactive goal-directed agents that advance shared tasks without waiting for user prompts. The architecture rests on three mutually reinforcing mechanisms.
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