Agents That Actually Remember
Five tiers of memory — from session context to collective intelligence — give your agents the cognitive architecture they need to get smarter with every interaction.
Five Tiers of Agent Memory
Each tier serves a different purpose, scope, and persistence model. Together, they give agents a complete cognitive memory architecture.
Session Memory
Single conversationWorking memory for the current interaction. Tracks context, user intent, and intermediate results within a single session.
Long-term Memory
Per user, per agentPersistent recall across sessions. The agent remembers past conversations, preferences, and decisions even months later.
Entity Memory
Named entitiesStructured knowledge about people, companies, and objects. Auto-extracted and enriched from every interaction.
Shared Memory
Agent-to-agentMemory that flows between agents in a pipeline. Agent A's output becomes Agent B's context automatically.
Collective Memory
Cross-tenantOrchStack's unique advantage — anonymized, aggregated patterns across all deployments inform every new agent from day one. Institutional knowledge without compromising privacy.
Agents That Get Smarter Over Time
Traditional chatbots treat every conversation like the first. OrchStack agents compound knowledge — every interaction makes the next one better. Memory is not just storage; it is the foundation of agent intelligence.
Progressive Learning
Each interaction enriches the agent's understanding. Preferences, patterns, and edge cases are automatically captured and indexed.
Contextual Recall
Agents retrieve the most relevant memories based on the current conversation context — not just keyword matching, but semantic understanding.
Memory Consolidation
Background processes periodically summarize, merge, and prune memories to keep context windows efficient and retrieval quality high.
Memory Growth Over Time
Memory That Flows Between Agents
In multi-agent workflows, shared memory eliminates redundant context passing. When one agent learns something, others can access it instantly.
Discovery Agent
Captures lead data
Shared Memory
Entity + context
Sales Agent
Uses lead context
Zero-copy Sharing
No serialization overhead between agents
Scoped Access
Control which agents see which memories
Audit Trail
Track every memory read and write across agents
Privacy-First Memory Isolation
In multi-tenant environments, memory isolation is not optional — it is foundational. OrchStack enforces cryptographic tenant boundaries at every layer of the memory stack.
Complete Memory Infrastructure
Everything your agents need to remember, recall, and reason across interactions.
Session Memory
Short-term conversational context that persists across turns within a single interaction. Automatically managed with configurable token windows and sliding summarization.
Long-term Memory
Persistent memory that survives across sessions. Agents recall past interactions, preferences, and decisions — even weeks or months later. Vector-indexed for fast retrieval.
Entity Memory
Structured knowledge about people, organizations, and things. Automatically extracted from conversations and enriched over time. Think of it as the agent's CRM.
Shared Memory
Memory that flows between agents within the same workflow. When Agent A learns something, Agent B can access it instantly. Eliminates redundant context passing.
Collective Intelligence
OrchStack's unique advantage: anonymized, aggregated patterns across all deployments inform every new agent from day one. The system gets smarter as more agents run — without leaking any private data.
Memory Analytics
Dashboards showing memory usage, retrieval hit rates, staleness metrics, and storage costs. Understand how your agents use memory and optimize accordingly.
Memory System FAQ
Give Your Agents a Memory
Build agents that learn and improve with every interaction.
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