TencentDB-Agent-Memory
About
A layered memory system for AI Agents that combines symbolic short-term memory with hierarchical long-term storage. It optimizes performance by offloading verbose tool logs into compact Mermaid symbols, reducing token usage by up to 61% while improving accuracy. The system organizes experiences into a semantic pyramid (L0-L3), enabling structured persona management instead of flat vector retrieval. Integrated with OpenClaw and Hermes, it provides a traceable and lossless memory architecture.
Features
- Symbolic Short-term Memory
- Layered Long-term Memory Pyramid
- Context Offloading & Token Optimization
- Heterogeneous Storage & Traceability
- OpenClaw & Hermes Native Integration
Supported Platforms
Links
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