RayYeung1989/dsh-memory-tencentdb

README 摘要

dsh-memory-tencentdb English 中文 DeepSeek Harness (dsh) ↔ TencentDB Agent Memory (TAM) long-term memory bridge plugin. A Cordis plugin that gives DeepSeek Harness Web UI sessions a read-write loop with the TAM four-layer memory system (L0 conversation → L1 extraction → L2 scenes → L3 persona). Mechanism is aligned with the Hermes memory tencentdb provider: from TAM's perspective a dsh session is just another agent session — same v3 data-plane API, same identity tenancy, same record shape. About DeepSeek Harness is an agent harness with a Web UI where you talk to an agent. TAM (TencentDB Agent Memory) is a team-level long-term memory service that distills conversations into reusable memories. This plugin connects the two: - Write : every finished turn is captured into TAM L0 (user + assistant), and the TAM pipeline automatically distills L1/L2/L3 — no extra work on the dsh side. - Read : before every model call, the plugin recalls relevant L1 memories, the L3 persona and L2 scene navigation from TAM and injects them as , so the agent "just remembers" past conversations and team doctrine. Because it reuses the same identity as your existing agents (e.g. Hermes), memories accumulated f…

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