A
licenseNot graded
qualityB
maintenanceEnables agents to evaluate multi-turn episodic memory buffers, compute multi-factor salience scores, and deterministically prune low-utility noise so retained context fits within model limits.
7
MIT
ContextualMemoryPruningImportanceAttributor
by alphaparkinc
Related Servers
Alternatives to ContextualMemoryPruningImportanceAttributor
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables agents to maintain multi-tier memory across working scratchpad, dialogue buffer, and episodic stores with recency decay. Supports hybrid BM25/vector retrieval, rank fusion, graph expansion, and context reordering for optimized MCP-based memory and RAG workflows.7MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to record episodic events, decay stale transient interactions using an Ebbinghaus forgetting curve, and consolidate frequent episodes into enduring semantic user persona traits for long-term personalization.7MIT
- AlicenseNot gradedqualityBmaintenanceEnables agents to decay stale transient interactions and consolidate frequent episodic events into enduring semantic user persona traits using sleep-cycle and forgetting-curve inspired memory processing.7MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to store, retrieve, and self-improve procedural memories (lessons learned) based on relevance to the current task, pruning unused memories to reduce context load and prevent repetition of past mistakes.MIT
- AlicenseNot gradedqualityCmaintenancePersistent memory system for AI agents that records episodic memories with care-weighting and emotional valence, and provides full-text search with temporal chaining and automatic consolidation.MIT
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues