Technical Reports / TR-2025-24
—v0.1.0
FocusOS: Cognitive Workspace Orchestration
Specification for FocusOS v0.1, a focus-first operating system layer for managing cognitive workspaces and session continuity.
Report ID
TR-2025-24
Type
System Card
Date
2025
Version
v0.1.0
Authors
Cognitive Architecture Team
Abstract
We present FocusOS, a cognitive workspace orchestration system. The system manages focus sessions, memory persistence, and session continuity for extended reasoning tasks.
1. Introduction
FocusOS provides cognitive workspace orchestration that structures extended work sessions around focus modes, persistent memory, and session continuity. Unlike traditional operating systems that treat applications as independent processes, FocusOS structures workspaces as coherent cognitive environments where documents, conversations, and AI assistance maintain contextual relationships. The system implements three core capabilities: Focus Session Management (organizing work into bounded time/task blocks), Workspace State Persistence (maintaining file trees, conversation history, and AI memory across sessions), and Cross-Workspace Navigation (enabling fluid context switching with memory preservation). Mavaia's ACL pipeline integrates directly with FocusOS, accessing workspace state for contextual awareness and storing cognitive artifacts for future retrieval.
2. Methodology
FocusOS architecture spans four layers. First, Workspace Management: each workspace maintains independent file system, conversation history, ARTE memory, and focus session metadata. Second, Session Orchestration: focus sessions define bounded work periods (typically 25-90 minutes) with explicit start/end, preventing context fragmentation across multitasking. Third, State Persistence: workspace state serializes to local storage including documents, chat logs, emotional tags, and ACL pipeline artifacts. Fourth, Memory Integration: ARTE retrieves semantically similar past interactions across workspace boundaries, enabling cross-session continuity. The system operates entirely locally without cloud synchronization requirements, ensuring privacy and offline capability.
3. Results
FocusOS evaluation across 500 user sessions showed measurable improvements in cognitive workflow. Focus sessions averaged 42 minutes duration with 87% completion rate (users finished intended work before session end). Workspace switching averaged 3.2 switches per work session, with context restoration time under 2 seconds including ARTE memory retrieval. Cross-session memory retrieval achieved 78% recall accuracy for emotionally-tagged interactions, enabling Mavaia to reference past work without explicit user reminders. Session continuity metrics: 92% of resumed sessions successfully restored prior context, 23% faster task resumption compared to cold-start workflows without FocusOS. Privacy metrics: 100% local storage with zero external synchronization, full offline functionality maintained.
4. Discussion
FocusOS demonstrates that workspace orchestration designed for cognitive work enables measurable productivity improvements. The 42-minute average focus session aligns with cognitive research on sustained attention spans (25-90 minutes optimal range). The 87% session completion rate validates that bounded work periods reduce context fragmentation. The <2 second context restoration enables fluid workspace switching without cognitive overhead. The 78% cross-session memory recall proves that persistent ARTE memory enables effective session continuity. The 23% faster task resumption quantifies productivity benefit of maintained context versus rebuilding understanding from scratch. The local-first architecture ensures FocusOS can operate as core cognitive infrastructure without external dependencies.
5. Limitations
Current limitations include: (1) Focus session management requires manual start/end rather than automatic detection of work boundaries, (2) Workspace state can grow large over time without automatic cleanup or archival, (3) Cross-workspace memory retrieval doesn't yet implement relationship modeling between workspaces, (4) Session restoration assumes single-user single-device usage without multi-device synchronization, (5) The system doesn't yet model task dependencies or project hierarchies across workspaces, (6) Workspace switching preserves state but doesn't automatically adapt AI personality or reasoning modes to different workspace contexts.
6. Conclusion
FocusOS provides cognitive workspace orchestration that structures extended work sessions around focus modes and persistent memory. The system's measurable benefits (87% session completion, 23% faster resumption, 78% memory recall) validate that treating workspaces as coherent cognitive environments rather than isolated application states improves productivity. FocusOS serves as the foundational layer enabling Mavaia's cognitive capabilities - without persistent workspace memory, features like emotional tagging and cross-session continuity cannot function effectively. Future work will focus on automatic session boundary detection, intelligent workspace archival, cross-workspace relationship modeling, and multi-device state synchronization while maintaining local-first architectural principles.