EverMemOS Cloud Overview
EverMemOS Cloud is a production-grade managed infrastructure empowering AI Agents with persistent, evolving memory, which allows developers to offload the complexity of infrastructure orchestration and maintenance.How does EverMemOS work? (at a quick glance)
- Episodic Trace Formation: EverMemOS monitors the continuous dialogue stream and uses semantic boundary detection to segment interactions into coherent events.
- Structured Encoding: For each event, it synthesizes a MemCell containing a concise third-person Episode, atomic Facts, and time-bounded Prospections.
- Semantic Consolidation: Instead of flat storage, MemCells are dynamically clustered into thematic MemScenes (e.g., “Health”, “Work”) to capture high-level contexts.
- Profile Evolution: The system continuously distills these scenes to update a structured User Profile, separating stable traits from temporary states.
- Reconstructive Recollection: Your agent retrieves context via hybrid search (BM25/vector/RRF) or Agentic Retrieval. EverMemOS navigates MemScenes, filters for time-valid evidence, and iterates until the retrieved context is “necessary and sufficient.”
- Grounded Reasoning: The agent uses the returned memories as grounded context to respond and plan—enabling long-horizon reasoning without replaying weeks or months of history in the prompt.
Core Memory Operations
Add Memory
Extract memory from messages and interactions.
Get Memory
Precise memory filtering based on specific metadata fields.
Search Memory
Context-aware memory search according to keywords using hybrid retrieval (including BM25, vector search)
Set Memory Scenario
Define the usage scenario for memory space.