What problem does it solve?
AgentForge Phase 4 memory system selection helps design AI agents with memory capabilities that persist across sessions by guiding the selection, deployment, and governance of memory paradigms (File Memory, Block Memory, Hierarchical Semantic Memory) and the supporting patterns for progress files and session persistence.
Core Features & Use Cases
- Decision framework to choose between File Memory, Block Memory, and Hierarchical Semantic Memory based on deployment context (single-user CLI vs multi-tenant SaaS) and privacy requirements.
- Guidance on progress file design (JSON vs Markdown) and session persistence options (filesystem, SQLite, PostgreSQL).
- Namespace isolation, memory provider lifecycles, and compliance considerations (data deletion, access control).
- Reference patterns and implementation notes via the included references.
Quick Start
Describe your agent’s deployment scenario and ask the system to recommend a memory paradigm and initial persistence strategy.