What problem does it solve?
Mnemos prevents context compaction, session changes, and agent fatigue from causing important goals, constraints, decisions, results, and handoffs to be forgotten or re-derived.
Core Features & Use Cases
- Typed Working Memory: Stores goals, constraints, results, context, and checkpoints with distinct persistence and eviction policies.
- Fatigue Monitoring: Measures token utilization, scope scatter, re-read behavior, and tool-call errors to trigger consolidation or checkpointing.
- Session Recovery and Analysis: Restores task state after compaction or interruption, ingests Claude transcripts, and reports haziness, corrections, and action divergence.
- Use Case: During a long coding task, use Mnemos to preserve architectural constraints and completed work, checkpoint before context compaction, and resume with the relevant state already available.
Quick Start
Initialize Mnemos, create a goal and constraints, and checkpoint the task state before continuing development.