moai-foundation-context

Context management tracks token consumption across extended sessions, enabling progressive memory disclosure and session state persistence to prevent budget overflow. The Skill monitors 200K+ token allocations, implements forking for memory branching, and maintains continuity across multi-agent handoffs without losing state.

Progressive memory management optimizes context by deferring non-critical file loading and compacting history as token budget approaches capacity. Session state persists across interruptions, allowing workflows to resume from checkpoints without replaying prior context or losing agent coordination state.

Yes. The Skill supports multi-agent handoff protocols that maintain coherent context across agent transitions, preserving session state and memory forks so downstream agents resume work without context loss or redundant initialization.

Context-aware optimization monitors token expenditure in real time, applies selective file loading based on task relevance, compacts accumulated history, and triggers memory management actions before budget exhaustion, ensuring continuous operation within 200K token constraints.

Establish token budget allocation limits, define session checkpoints for persistence, and configure MCP integration for continuity. The Skill then tracks state from initialization through completion, automatically managing memory and detecting handoff triggers.

Yes. The Skill integrates with MoAI-ADK workflows through MCP-integrated continuity, enabling progressive disclosure, cross-agent handoffs, and token-aware memory management without requiring workflow restructuring.