Products
- Choose: Agent Memory Governance Kit
- Also consider: Agent Context Engineering OS
← All decision guidesComparison guide
Agent Memory Governance vs Context Engineering
Choose between persistent-memory policy and active context-window management for long-running AI agents.
Short answer
Choose Agent Memory Governance Kit when the question is what an agent may retain, for how long, and what it must never store. Choose Agent Context Engineering OS when the question is what should enter the active context window and how it should be budgeted or compacted. Use both when persistent memory can feed a long-running agent's active context.
Decision criteria
- Whether information is being retained between sessions or selected for the current context
- Whether retention and never-store policy is the main risk
- Whether context budgets, retrieval, and compaction are the main operational problem
| Decision dimension | Agent Memory Governance Kit | Agent Context Engineering OS |
|---|---|---|
| Primary purpose | Defines classification, retention, never-store policy, and memory audits. | Defines active context selection, budgets, retrieval rules, compaction, and context audits. |
| State addressed | Persistent or reusable memory across sessions. | Information assembled for the current task or agent run. |
| Automatic deletion or compaction | No; the buyer's platform applies retention and deletion. | No; the buyer's stack applies budgets and compaction policies. |
Clear next steps
Bundles that cover this decision
Buy individual layers when only those layers fit. Choose a bundle only when several exact members match the intended stack.
Relevant products
- Agent Memory Governance KitA written governance system for what agents may remember: memory classification, a binding never-store list, retention schedules, and audit scorecards.
- Agent Context Engineering OSA written system for deciding what goes into an AI agent's context window: selection framework, token budgets, compaction policies, and audit worksheets.
Relevant bundles
- Wave 1 Agent Infrastructure StackAgent operators, agent-platform engineers, and orchestrator agents adopting the full Wave 1 infrastructure layer.
Related categories
Compatibility and limitations
These products are document, template, schema, policy, or checklist systems used with the buyer's own tools. Review each canonical product page and the compatibility guide before choosing.
- Neither product includes a memory service, vector database, retrieval infrastructure, or legal compliance certification.
- The buyer must map written policies to the capabilities of the chosen agent platform.