A
licenseB
qualityD
maintenanceProvides intelligent context management for AI development sessions, allowing users to track token usage, manage conversation context, and seamlessly restore context when reaching token limits.
8
5 npm
2
Apache 2.0
Aletheia Token Guard (ATG)
Related Servers
Alternatives to Aletheia Token Guard (ATG)
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceProvides operational continuity for AI coding agents, preserving task state, decisions, checkpoints, and project context across sessions and model switches via MCP.1Apache 2.0
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to persist and restore checkpoint state, supporting crash recovery and replay for LangGraph-based workflows.8-
- AlicenseNot gradedqualityCmaintenanceEnables coding agents to persist and resume shared working state—tasks, progress, decisions, commands, tests, checkpoints, and handoffs—backed by SQLite while keeping Git authoritative for files and repository state.MIT
- AlicenseAqualityDmaintenanceProvides 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.4MIT
- AlicenseNot gradedqualityDmaintenanceSave conversation state, resume work across sessions, and organize multiple snapshots with minimal token overhead.8 npmMIT
TDQS
A3.9/5.0
Scored across 5 tools
Disambiguation5/5
Each tool has a clear, singular responsibility: usage checking, checkpoint persistence, resume, listing, and completion. Even the related save/load/list checkpoint tools are easy to distinguish by their action and return value.
Naming Consistency5/5
All tool names follow a consistent snake_case verb_noun convention: check_usage, save_checkpoint, load_checkpoint, list_checkpoints, mark_done. The pattern makes behavior predictable and easy to infer.
Tool Count5/5
Five tools is well-scoped for a focused guard/checkpoint server. Each tool addresses a distinct step in the pre-work, mid-work, resume, and completion lifecycle without unnecessary overlap.
Completeness4/5
The core workflow is covered: usage check, checkpoint save/load, incomplete work listing, and completion marking. A minor gap is the lack of an explicit checkpoint delete/abort operation for abandoned work, but this does not create a dead end for the primary use case.
Maintenance
ActivityMaintained
ResponsivenessUnresponsive