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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Karna: A Chat-Native, Multi-Channel Architecture for Personal AI Chief-of-Staff Agents

Authors: Katta, Mukunda Rao;

Karna: A Chat-Native, Multi-Channel Architecture for Personal AI Chief-of-Staff Agents

Abstract

Personal AI assistants are moving from single-window chat interfaces toward systems that operate across messaging channels, web dashboards, mobile clients, voice notes, workflow triggers, and long-running memory. This paper presents Karna, a self-hosted TypeScript monorepo that explores a chat-native architecture for a personal AI chief-of-staff agent. The system is organized around a gateway, an agent runtime, shared protocol types, channel adapters, web and mobile surfaces, a CLI, memory/session modules, workflow hooks, observability surfaces, and deployment artifacts. Repository inspection identifies 13 channel packages, 485 TypeScript or TSX source files, 84 test files, Docker and Kubernetes deployment artifacts, and separate web, mobile, cloud, and command-line applications. The paper describes the design goals, repository structure, channel abstraction, operational safety considerations, and research questions that emerge from using chat as the primary interface for agentic work.

Keywords

AI agents; personal assistants; chat-native systems; multi-channel agents; agent architecture; memory systems; workflow automation; self-hosted AI; TypeScript; operator visibility

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green