dsh-tdai-memory¶
| Type | plugin | Category | Memory & context |
| Stars | ⭐3 | Status | ✅ active |
| Capabilities | coding, memory, multi-agent | Updated | 2026-08-14 |
📖 About¶
GitHub: Scorp1o117/dsh-tdai-memory · npm: dsh-tdai-memory A port of TencentDB Agent Memory (Tencent Cloud's open-source four-layer memory system, originally an OpenClaw plugin) into DeepSeek Harness.
✨ Key Features¶
- L0 conversation capture: every turn (turn end, request boundary) is
- L1 structured memory: a background pipeline uses an LLM to extract
- L2 scenes / L3 persona: scene blocks and user profile generation
- Automatic recall injection: on every prompt assembly, relevant memories
- Tools:
tdai_memory_search(L1 structured search),
📦 Install¶
dsh plugin --profile web add dsh-tdai-memory
🚀 Quick Start¶
- insert:
- id: tdai-memory
name: 'dsh-tdai-memory'
config: {} # keys can live in settings.yaml instead