Provides intelligent context management for AI development sessions, allowing users to track token usage, manage conversation context, and seamlessly restore context when reaching token limits.
Provides operational continuity for AI coding agents, preserving task state, decisions, checkpoints, and project context across sessions and model switches via MCP.
Provides state and log management tools designed for long-lived AI agents that may be interrupted and resumed. It enables tracking agent progress and maintaining an append-only event history to ensure continuity across multiple sessions.
Enables agents to create and manage persistent task logs, decisions, dead ends, questions, and handoffs, with file staleness detection and activity reporting.